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Large language models (LLMs) offer transformative opportunities in bioinformatics education for medical students by creating interactive experiences. The integration of LLMs enhances educational outcomes through providing accessible code templates, clarifying the function of coding elements, and assisting in error troubleshooting. Here, we demonstrate the practical applications of LLMs with a case study on transcriptome sequencing data processing, a vital component of medical research. However, the reliability of the content that LLMs generate requires rigorous validation. Ensuring the accuracy and appropriateness of the LLM-generated information requires integrating innovative LLMs with traditional educational methods to prepare medical students effectively for future challenges in bioinformatics. [ABSTRACT FROM AUTHOR]

Large language models (LLMs) such as ChatGPT have recently attracted significant attention due to their impressive performance on many real‐world tasks. These models have also demonstrated the potential in facilitating various biomedical tasks. However, little is known of their potential in biomedical information retrieval, especially identifying drug-disease associations. This study aims to explore the potential of ChatGPT, a popular LLM, in discerning drug-disease associations. We collected 2694 true drug-disease associations and 5662 false drug-disease pairs. Our approach involved creating various prompts to instruct ChatGPT in identifying these associations. Under varying prompt designs, ChatGPT's capability to identify drug-disease associations with an accuracy of 74.6–83.5% and 96.2–97.6% for the true and false pairs, respectively. This study shows that ChatGPT has the potential in identifying drug-disease associations and may serve as a helpful tool in searching pharmacy-related information. However, the accuracy of its insights warrants comprehensive examination before its implementation in medical practice. [ABSTRACT FROM AUTHOR]

Purpose: The use of AI-powered technology, particularly OpenAI's ChatGPT, holds significant potential to reshape healthcare and medical education. Despite existing studies on the performance of ChatGPT in medical licensing examinations across different nations, a comprehensive, multinational analysis using rigorous methodology is currently lacking. Our study sought to address this gap by evaluating the performance of ChatGPT on six different national medical licensing exams and investigating the relationship between test question length and ChatGPT's accuracy. Methods: We manually inputted a total of 1,800 test questions (300 each from US, Italian, French, Spanish, UK, and Indian medical licensing examination) into ChatGPT, and recorded the accuracy of its responses. Results: We found significant variance in ChatGPT's test accuracy across different countries, with the highest accuracy seen in the Italian examination (73% correct answers) and the lowest in the French examination (22% correct answers). Interestingly, question length correlated with ChatGPT's performance in the Italian and French state examinations only. In addition, the study revealed that questions requiring multiple correct answers, as seen in the French examination, posed a greater challenge to ChatGPT. Conclusion: Our findings underscore the need for future research to further delineate ChatGPT's strengths and limitations in medical test-taking across additional countries and to develop guidelines to prevent AI-assisted cheating in medical examinations. [ABSTRACT FROM AUTHOR]

This study examines ChatGPT's role in clinical decision support, by analyzing its scope, application, and limitations. By analyzing patient data and providing evidence-based recommendations, ChatGPT, an AI language model, can help healthcare professionals make well-informed decisions. This study examines ChatGPT's use in clinical decision support, including diagnosis and treatment planning. However, it acknowledges limitations like biases, lack of contextual understanding, and human oversight and also proposes a framework for the future clinical decision support system. Understanding these factors will allow healthcare professionals to utilize ChatGPT effectively and make accurate clinical decisions. Further research is needed to understand the implications of using ChatGPT in healthcare settings and to develop safeguards for responsible use. [ABSTRACT FROM AUTHOR]

We aimed to evaluate current trends and future directions in the field of AI research since ChatGPT was launched. We performed a bibliometric analysis of the literature published during the first 7 months of the life of ChatGPT since its introduction, updated to July 1st, 2023. Seven hundred and twenty-four (724) articles were retrieved. This analysis highlights a significant increase in publications exploring ChatGPT use across various medical disciplines, indicating its expanding relevance in healthcare. A decline proportion of studies focusing on ethical considerations was observed. Simultaneously, there was a steady increase in studies focused on the exploration of possible applications of ChatGPT. As ChatGPT applications continue to expand, ongoing vigilance and collaborative efforts to optimize ChatGPT performance are essential in harnessing the benefits while mitigating the risks of AI use in healthcare. [ABSTRACT FROM AUTHOR]

The launch of Open AI's chatbot, ChatGPT, has generated a lot of attention and discussion among professionals in several fields. Many concerns and challenges have been brought up by researchers from various fields, particularly in relation to the harm that using these tools for medical diagnosis and treatment recommendations can cause. In addition, it has been debated if ChatGPT is dependable, efficient, and helpful for clinicians and medical professionals. Therefore, in this study, we assess ChatGPT's effectiveness in providing mental health support, particularly for issues related to anxiety and depression, based on the chatbot's responses and cross-questioning. The findings indicate that there are significant inconsistencies and that ChatGPT's reliability is low in this specific domain. As a result, care must be used when using ChatGPT as a complementary mental health resource. [ABSTRACT FROM AUTHOR]

Purpose: The study aims to assess ChatGPT performance on the Residency Admission National Exam to evaluate ChatGPT's level of medical knowledge compared to graduate medical doctors in Italy. Methods: ChatGPT3 was used in June 2023 to undertake the 2022 Italian Residency Admission National Exam—a 140 multiple choice questions computer-based exam taken by all Italian medical graduates yearly, used to assess basic science and applied medical knowledge. The exam was scored using the same criteria defined by the national educational governing body. The performance of ChatGPT was compared to the performance of the 15,869 medical graduates who took the exam in July 2022. Lastly, the integrity and quality of ChatGPT's responses were evaluated. Results: ChatGPT answered correctly 122 out of 140 questions. The score ranked in the top 98.8th percentile among 15,869 medical graduates. Among the 18 incorrect answers, 10 were evaluating direct questions on basic science medical knowledge, while 8 were evaluating candidates' applied clinical knowledge and reasoning under the form of case presentation. Errors were logical (2 incorrect answers) and informational in nature (16 incorrect answers). Explanations to the correct answers were all evaluated as "appropriate." Comparison to national statistics related to the minimal score needed to match into each specialty, demonstrated that the performance of ChatGPT would have granted the candidate a match into any specialty. Conclusion: ChatGPT proved to be proficient in basic science medical knowledge and applied clinical knowledge. Future research should assess the impact and reliability of ChatGPT in clinical practice. [ABSTRACT FROM AUTHOR]

ChatGPT is revolutionizing hospital workflows by enhancing the precision and efficiency of tasks that were formerly the exclusive domain of healthcare professionals. Additionally, ChatGPT can aid in administrative duties, including appointment scheduling and billing, which enables healthcare professionals to allocate more time towards patient care. By shouldering some of these responsibilities, ChatGPT has the potential to advance the quality of patient care, streamline departmental efficiency, and lower healthcare costs. Nevertheless, it is crucial to strike a balance between the advantages of ChatGPT and the necessity of human interaction in healthcare to guarantee optimal patient care. While ChatGPT may assume some of the duties of physicians in particular medical domains, it cannot replace human doctors. Tackling the challenges and constraints associated with the integration of ChatGPT into the healthcare system is critical for its successful implementation. [ABSTRACT FROM AUTHOR]

ChatGPT, an advanced natural language processing model, holds significant promise in diabetes self-management and education. ChatGPT excels in providing personalized educational experiences by tailoring information to meet individual patient needs and preferences. It aids patients in developing self-management skills and strategies, fostering proactive disease management. Additionally, ChatGPT addresses healthcare access disparities by enabling patients to access educational resources irrespective of their geographic location or physical limitations. However, it is important to acknowledge and address the deficiencies of ChatGPT, such as its limited medical expertise, contextual understanding, and emotional support capabilities. Strategies for optimizing ChatGPT include regular training and updating, integration of healthcare professionals' expertise, improvement in contextual comprehension, and enhancing emotional support. By addressing these limitations and striking a balance between the benefits and limitations, ChatGPT can play a significant role in empowering patients to better understand and manage diabetes. Further research and development are needed to refine ChatGPT's capabilities and address ethical considerations, but its integration in patient education holds the potential to transform healthcare delivery and create a more informed and engaged patient population. [ABSTRACT FROM AUTHOR]

Increasing population and healthcare costs make changes in the healthcare system necessary. This article deals with ChatGPT's perspective on the future role of radiologists in the AI-driven hospital. This perspective will be augmented by further considerations by the author. AI-based imaging technologies and chatbots like ChatGPT can help improve radiologists' performance and workflow in the future AI-driven hospital. Although basic radiological examinations could be delivered without needing a radiologist, sophisticated imaging procedures will still need the expert opinion of a radiologist. [ABSTRACT FROM AUTHOR]

The global COVID-19 pandemic has affected all spheres of human life, resulting in millions of deaths and overwhelming medical facilities. Moreover, the world has witnessed great financial hardship because of job losses resulting in economic havoc. Many sections of society have contributed in different ways to slow the spread of the virus and protect public health. For example, medical scientists are praised for their efforts to develop COVID-19 vaccines. Clinical trials have shown that the COVID-19 vaccines are highly effective in preventing symptomatic COVID-19 infections. However, many people around the world have been hesitant to get vaccinated. Vaccine misconceptions have emerged and increased due to a combination of factors, including the availability of information on the Internet and the influence of celebrities and opinion leaders. In this context, we have analyzed ChatGPT responses to relevant queries on vaccine misconceptions. The positive responses and supportive opinions provided by the AI chatbot could be instrumental in shaping people's perceptions of vaccines and in encouraging users to get vaccinated and reduce misconceptions. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has been driving the continuous development of the Physical Medicine and Rehabilitation (PM&R) fields. The latest release of ChatGPT/GPT-4 has shown us that AI can potentially transform the healthcare industry. In this study, we propose various ways in which ChatGPT/GPT-4 can display its talents in the field of PM&R in future. ChatGPT/GPT-4 is an essential tool for Physiatrists in the new era. [ABSTRACT FROM AUTHOR]

Advancements in AI have resulted in the development of sophisticated language models like ChatGPT, which can generate human-like text. While ChatGPT is useful for clarifying concepts and providing basic guidance, it has limitations. It lacks the ability to provide the latest scientific information and access original medical databases. Studies have shown that ChatGPT's text can be robotic, shallow, and lacking a human touch. It has also been found to provide misleading or inaccurate information. Researchers and medical professionals should be aware of these limitations and not solely rely on ChatGPT for complex tasks. The human element and real-world experiences are indispensable in science, and consulting experts is advisable for reliable insights. [ABSTRACT FROM AUTHOR]

Large language models or ChatGPT have recently gained extensive media coverage. At the same time, the use of ChatGPT has increased deistically. Biomedical researchers, engineers, and clinicians have shown significant interest and started using it due to its diverse applications, especially in the biomedical field. However, it has been found that ChatGPT sometimes provided incorrect or partly correct information. It is unable to give the most recent information. Therefore, we urgently advocate a domain-specific next-generation, ChatBot for biomedical engineering and research, providing error-free, more accurate, and updated information. The domain-specific ChatBot can perform diversified functions in biomedical engineering, such as performing innovation in biomedical engineering, designing a medical device, etc. The domain-specific artificial intelligence enabled device will revolutionize biomedical engineering and research if a biomedical domain-specific ChatBot is produced. [ABSTRACT FROM AUTHOR]

As a recently popular large language model, Chatbot Generative Pre-trained Transformer (ChatGPT) is highly valued in the field of clinical medicine. Due to the limited understanding of the potential impact of ChatGPT on the manufacturing side of clinical medical devices, we aim to fill this gap through this article. We elucidate the classification of medical devices and explore the positive contributions of ChatGPT in various aspects of medical device design, optimization, and improvement. However, limitations such as the potential for misinterpretation of user intent, lack of personal experience, and the need for human supervision should be taken into consideration. Striking a balance between ChatGPT and human expertise can ensure the safety, quality, and compliance of medical devices. This work contributes to the advancement of ChatGPT in the medical device manufacturing industry and highlights the synergistic relationship between artificial intelligence and human involvement in healthcare. [ABSTRACT FROM AUTHOR]

Recently, Chatbot Generative Pre-trained Transformer (ChatGPT) is recognized as a promising clinical decision support system (CDSS) in the medical field owing to its advanced text analysis capabilities and interactive design. However, ChatGPT primarily focuses on learning text semantics rather than learning complex data structures and conducting real-time data analysis, which typically necessitate the development of intelligent CDSS employing specialized machine learning algorithms. Although ChatGPT cannot directly execute specific algorithms, it aids in algorithm design for intelligent CDSS at the textual level. In this study, besides discussing the types of CDSS and their relationship with ChatGPT, we mainly investigate the benefits and drawbacks of employing ChatGPT as an auxiliary design tool for intelligent CDSS. Our findings indicate that by collaborating with human expertise, ChatGPT has the potential to revolutionize the development of robust and effective intelligent CDSS. [ABSTRACT FROM AUTHOR]

This discussion paper aims to examine the potential benefits and limitations of using artificial intelligence (AI) chatbots in nursing practice, with a particular focus on the ChatGPT example. The study discusses how chatbots can serve as a valuable tool for nurses' continuing education, consultation, and information access. It is suggested that ChatGPT can contribute to enhancing nurses' knowledge and skill levels, providing rapid and accurate information, and improving time management. However, the potential risks and limitations of using AI chatbots have also been evaluated. The study highlights the possibility of negative impacts on the nurse–patient relationship due to chatbots' inadequacy in emotional and empathetic communication. Additionally, concerns about chatbots providing inaccurate or biased information and issues regarding data privacy are addressed. The review draws attention to the limited existing literature on the use of AI chatbots in nursing and emphasizes the need for expanding research in this area. Future studies are suggested to focus on identifying the necessary training and support resources for nurses to effectively utilize this technology. This study underscores an important ethical and professional point for nurses, reminding them not to overlook the significance of human touch and emotional connection while evaluating the advantages offered by technology. [ABSTRACT FROM AUTHOR]

Protein energy malnutrition (PEM) is a global public health concern, and personalized treatment approaches are crucial for improved outcomes. This study explores the transformative potential of Chat GPT, an AI language model, in revolutionizing personalized treatment for PEM. By providing accurate information, personalized dietary recommendations, food choices, psychological counseling of the patient and real-time monitoring and support, Chat GPT can enhance the effectiveness of PEM interventions. Along with the benefits it is also important to acknowledge its potential flaws and limitations. The study emphasizes the importance of collaboration between AI technology and healthcare professionals to leverage Chat GPT's capabilities effectively. By combining human expertise with AI capabilities, personalized PEM treatment can be revolutionized, leading to improved patient outcomes and a comprehensive approach to addressing this global public health concern. The study highlights the significant impact of Chat GPT in providing tailored guidance and continuous support throughout the treatment process, empowering individuals and improving their overall well-being. [ABSTRACT FROM AUTHOR]

The Code Interpreter feature in ChatGPT has the potential to democratize data analysis for non-specialists. As bioinformaticians, we are impressed by its performance in data manipulation and visualization. However, bioinformatics tasks often require execution of third-party packages, access to annotation knowledgebase, and handling large datasets. Code Interpreter's exclusive support for Python, no installation option for additional packages, inability to utilize external resources, and limited storage capacity could pose obstacles to its wide adoption in bioinformatics applications. To address these limitations, we advocated for the necessity of locally deployable, API-based systems for chatbot-aided bioinformatics applications. [ABSTRACT FROM AUTHOR]

Humanoid doctor is an AI-based robot that featured remote bi-directional communication and is embedded with disruptive technologies. Accurate and real-time responses are the main characteristics of a humanoid doctor which diagnoses disease in a patient. The patient details are obtained by Internet of Things devices, edge devices, and text formats. The inputs from the patient are processed by the humanoid doctor, and it provides its opinion to the patient. The historical patient data are trained using cloud artificial intelligence platform and the model is tested against the patient sample data acquired using medical IoT and edge devices. Disease is identified at three different stages and analyzed. The humanoid doctor is expected to identify the diseases well in comparison with human healthcare professionals. The humanoid doctor is under-trusted because of the lack of a multi-featured accurate model, accessibility, availability, and standardization. In this letter, patient input, artificial intelligence, and response zones are encapsulated and the humanoid doctor is realized. [ABSTRACT FROM AUTHOR]

Large Language Models (LLMs) such as ChatGPT and Bard have emerged as groundbreaking interactive chatbots, capturing significant attention and transforming the biomedical research landscape. These powerful tools offer immense potential for advancing scientific inquiry, but they also present challenges and pitfalls. Leveraging large language models, researchers can streamline literature reviews, summarize complex findings, and even generate novel hypotheses, enabling the exploration of uncharted scientific territories. However, the inherent risk of misinformation and misleading interpretations underscores the critical importance of rigorous validation and verification processes. This article provides a comprehensive overview of the current landscape and delves into the opportunities and pitfalls associated with employing LLMs in biomedical research. Furthermore, it sheds light on strategies to enhance the utility of LLMs in biomedical research, offering recommendations to ensure their responsible and effective implementation in this domain. The findings presented in this article contribute to the advancement of biomedical engineering by harnessing the potential of LLMs while addressing their limitations. [ABSTRACT FROM AUTHOR]

Prompt engineering is a relatively new discipline that refers to the practice of developing and optimizing prompts to effectively utilize large language models, particularly in natural language processing tasks. However, not many writers and researchers are familiar about this discipline. Hence, in this paper, I aim to highlight the significance of prompt engineering for academic writers and researchers, particularly the fledgling, in the rapidly evolving world of artificial intelligence. I also discuss the concepts of prompt engineering, large language models, and the techniques and pitfalls of writing prompts. Here, I contend that by acquiring prompt engineering skills, academic writers can navigate the changing landscape and leverage large language models to enhance their writing process. As artificial intelligence continues to advance and penetrate the arena of academic writing, prompt engineering equips writers and researchers with the essential skills to effectively harness the power of language models. This enables them to confidently explore new opportunities, enhance their writing endeavors, and remain at the forefront of utilizing cutting-edge technologies in their academic pursuits. [ABSTRACT FROM AUTHOR]

Arguably ChatGPT jeopardizes the integrity and validity of the academic publications instead of ethically facilitating them. ChatGPT can apparently fulfill a portion of one of the four authorship criteria set by the International Committee of Medical Journal Editors (ICMJE), i.e., "drafting." However, the authorship criteria by ICMJE must all be collectively met, not singly or partially. Many published manuscripts or preprints have credited ChatGPT by including it in the author byline, and the academic publishing enterprise seems to be unguided on how to handle such manuscripts. Interestingly, PLoS Digital Health removed ChatGPT off a paper which had ChatGPT listed initially in the author byline of the preprint version. Revised publishing policies are, thus, promptly required to guide a consistent stance regarding ChatGPT or similar artificial content generators. Publishing policies must accord among publishers, preprint servers (https://asapbio.org/preprint-servers), universities, and research institutions worldwide and across different disciplines. Ideally, considering any declaration of the contribution of ChatGPT to writing any scientific article should be recognized as publishing misconduct immediately and be retracted. Meanwhile, all parties involved in the scientific reporting and publishing must be educated about how ChatGPT fails to meet the essential authorship criteria, so that no author must submit a manuscript with ChatGPT contributing as a "co-author." Meanwhile, using ChatGPT for writing laboratory reports or short summaries of experiments may be acceptable, but not for academic publishing or formal scientific reporting. [ABSTRACT FROM AUTHOR]

Since the introduction of ChatGPT by OpenAI in late 2022, the question of whether doctors can employ it for consultation has been a subject of debate. ChatGPT is a deep learning model trained on a vast dataset, but concerns about the reliability of its output have been a subject of debate in recent times. In this article, we have employed cutting-edge bidirectional encoder representations from transformers (BERT) sentiment analysis and topic modeling techniques to comprehend doctors' attitudes toward using ChatGPT in consultation. [ABSTRACT FROM AUTHOR]

The study evaluates the performance of OpenAI's GPT-3 model on answering medical exam questions from Staged Senior Professional and Technical Examinations Regulations for Medical Doctors in the field of internal medicine. The study used the official API to connect the questionnaire with the ChatGPT model, and the results showed that the AI model performed reasonably well, with the highest score of 8/13 in chest medicine. However, the overall performance of the AI model was limited, with only chest medicine scoring more than 60. ChatGPT scored relatively high in Chest medicine, Gastroenterology, and general medicine. One of the limitations of the study is the use of non-English text, which may affect the model's performance as the model is primarily trained on English text. [ABSTRACT FROM AUTHOR]

Since OpenAI (San Francisco, CA) released its generative AI chatbot, ChatGPT, we are on the cusp of technological transformation. The tool is capable of generating text according to the input that the user adds to it. Due to its ability to imitate human speech tone while extracting encyclopedic knowledge, ChatGPT can be a platform for personalized patient interaction. Thus, it has the potential to revolutionize the healthcare system. Our study aims to evaluate how ChatGPT can answer the queries of patients suffering from obstructive sleep apnea and aid in self-diagnosis. By analyzing symptoms and guiding patients' behavior toward prevention, ChatGPT can play a major role in avoiding serious health repercussions that develop in the later course of obstructive sleep apnea. [ABSTRACT FROM AUTHOR]

Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. In the recent years, the use of artificial intelligence (AI) has gained considerable interest in various medical specialties, including surgery. Chatbot Generative Pre-Trained Transformer (ChatGPT), an AI-based chatbot developed by OpenAI, has shown great potential in improving the quality of healthcare delivery by providing accurate and timely information to both patients and healthcare professionals. In this paper, we investigate the potential application of ChatGPT in colorectal surgery. We also discuss the potential advantages and challenges associated with the implementation of ChatGPT in the surgical setting. Furthermore, we address the socio-ethical implications of utilizing ChatGPT in healthcare. This includes concerns over patient privacy, liability, and the potential impact on the doctor-patient relationship. Our findings suggest that ChatGPT has the potential to revolutionize the field of colorectal surgery by providing personalized and precise medical information, reducing errors and complications, and improving patient outcomes. [ABSTRACT FROM AUTHOR]

We may lessen the detrimental effects of global warming on human thought processes by reducing greenhouse gas emissions, encouraging sustainability, and giving adaption measures top priority. The purpose of the letter is to draw attention to the necessity of net-zero energy buildings (NZEB) in academic institutions in order to reduce academic stress, promote well-being, and improve cognitive functions. While some levels of stress might be advantageous, excessive and mismanaged stress can be detrimental to students' well-being. To foster a healthy academic atmosphere, it is essential to offer resources, support networks, and stress-reduction techniques. As human authors, we thoroughly edited ChatGPT's responses to create this letter. [ABSTRACT FROM AUTHOR]

ChatGPT, an advanced language generation model developed by OpenAI, has the potential to revolutionize healthcare delivery and support for individuals with various conditions, including Down syndrome. This article explores the applications of ChatGPT in assisting children with Down syndrome, highlighting the benefits it can bring to their education, social interaction, and overall well-being. While acknowledging the challenges and limitations, we examine how ChatGPT can be utilized as a valuable tool in enhancing the lives of these children, promoting their cognitive development, and supporting their unique needs. [ABSTRACT FROM AUTHOR]

At the fascinating intersection of artificial intelligence and medicine, ChatGPT morphs into a compact, personal digital physician. With a simple click, it furnishes an abundance of health-related information, initial medical consultations, and a plethora of disease management recommendations. Moreover, it stands at the ready to provide immediate mental health assistance in times of psychological distress. Yet, each innovation carries inherent challenges. As we embrace the conveniences proffered by ChatGPT, it is imperative that we grapple with associated issues such as data privacy, risk of misdiagnosis, complexities in human–machine interaction, and particular situations that elude its understanding. Let's probe further into this intriguing world, brimming with contention and prospects, and observe how ChatGPT traverses the landscape of digital health, uncovering the potential it holds for the future evolution of medical practice. [ABSTRACT FROM AUTHOR]

Humanoid robotics is characterized by constant developments, which are supported by several research facilities across the world. Humanoid robots are used in many different industries. In this setting, this letter, written by people, makes use of ChatGPT answers to examine how humanoid robots might be used in the medical industry, particularly in light of the COVID-19 pandemic and in future. Although humanoid robots can help with certain jobs, it is important to recognize the indispensable importance of human healthcare professionals who have knowledge, empathy, and the capacity for critical judgment. Although humanoid robots can complement healthcare initiatives, they shouldn't be viewed as a full-fledged replacement for human care. [ABSTRACT FROM AUTHOR]

Operative notes are an essential piece of documentation made by an ophthalmic team following ocular or ophthalmic surgery. While the advanced language processing capabilities of GPT-4 can be utilized to enhance the comprehension of natural language in healthcare applications, the utilization of GPT-4 in writing operative notes is not explicitly referenced in the current literature. In this paper, we describe the potential applications for GPT-4 to write ophthalmic operative notes. It is imperative to acknowledge that despite the impressive capabilities exhibited by GPT-4, it remains constrained by certain limitations, and therefore, ought to be employed in tandem with human expertise and subjected to critical evaluation. [ABSTRACT FROM AUTHOR]

Wireless communication in medical applications improves patient monitoring, care coordination, early disease detection, and patient empowerment. It improves healthcare and patient outcomes. The design and configuration of a solar-powered emergency battery backup system for 5G telecommunication base stations, including medical applications, may vary depending on local climate, power requirements, and resources. In this connection, uninterrupted power supply to the base stations become crucial. The author utilizes the ChatGPT-AI features and prepared this comprehensive letter for realizing the role of sustainable practices towards climatic changes. [ABSTRACT FROM AUTHOR]

Unleashing the power of artificial intelligence (AI), this letter delves into the potential applications of ChatGPT, a cutting-edge language model, in the management and control of infectious diseases. By examining ChatGPT's contributions to information dissemination, diagnosis, treatment, and research, the article underscores its revolutionary impact on the field while acknowledging existing limitations and envisioning future advancements for optimized medical applications. [ABSTRACT FROM AUTHOR]

Over the past month, a new AI model called Chatbot Generative Pre-trained Transformer (ChatGPT), has received enormous attention in the media and scientific communities due to its ability to process and respond to commands in a humanistic fashion. As reported, five days after its launch, the number of registered users of ChatGPT exceeded one million, and its monthly active users had exceeded 100 million two months later, making it the most rapidly growing consumer application in history. The advent of ChatGPT has further brought about new ideas and challenges in the realm of infectious disease. In view of this, in order to evaluate the potential use of ChatGPT in clinical practice and scientific research of infectious disease, we conducted a brief online survey by using the publicly available ChatGPT webpage. Also, the present study also talks about the relevant social and ethical issues related to this program. [ABSTRACT FROM AUTHOR]

In the era of big data, generative artificial intelligence (AI) models are currently in a boom. The Chatbot Generative Pre-trained Transformer (ChatGPT), a large language model (LLM) developed by OpenAI (San Francisco, CA), is a type of AI software that could generate text based on the input it receives. In this study, in order to explore how ChatGPT could give reflections and suggestions about the sudden outbreak of Mpox in 2022 from the AI dimensions, our group talked with ChatGPT with several questions about Mpox. We hope this talk could enrich our knowledge on Mpox from the new AI dimensions and also explore the possibility of human and AI fight shoulder to shoulder for prevention and containment of the potential epidemics or pandemics in future. [ABSTRACT FROM AUTHOR]

In this study, we have used deep learning techniques to understand the perception of researchers in the healthcare sector about the recently introduced chat generative pre-trained transformer (ChatGPT). Ever since the launch of ChatGPT, there have been various debates over the usage of ChatGPT for research purposes. In this article, using the pre-trained BERT (Bidirectional Encoder Representations from Transformers) model, we performed sentiment analysis and topic modeling to analyze the social media posts of healthcare researchers to understand their emotions towards ChatGPT. [ABSTRACT FROM AUTHOR]

This article aims to answer frequently asked questions about the Covid-19 pandemic using ChatGPT and contribute to the spread of accurate information about the pandemic. The article provides general information about the ways Covid-19 is spread, symptoms, diagnosis, treatment, vaccines and pandemic management. It also provides advice on infection control, vaccination campaigns and emergency preparedness. [ABSTRACT FROM AUTHOR]

Scholars increasingly rely on new artificial intelligence models for convenience and simple access to necessities due to the rapid evolution of scientific literature and technology. The invention of ChatGPT by OpenAI stands out as a key example of how significant advances in large language model technology have recently changed the field of artificial intelligence (AI). Since ChatGPT's development, it has been tested by multiple sectors on various topics to see how well it functions in a natural and conversational mode. The crucial question is how much ChatGPT can influence global health policy analysis. In this article, the researcher briefly explains ChatGPT's potential and the difficulties that users, such as researchers or policymakers, may continue to face. [ABSTRACT FROM AUTHOR]

The maritime industry is vital to international trade, however, it also poses inimitable challenges to the health and well-being of mariners. Long voyages at sea might make it grim to receive high-quality healthcare. This is a descriptive study that highlights the use of ChatGPT in providing healthcare amenities to mariners. AI technologies can revolutionize maritime healthcare to tackle this issue. ChatGPT, a state-of-the-art AI system developed by OpenAI can provide valuable support for the health and welfare of seafarers'. By harnessing the extensive expertise and conversational capacities of ChatGPT, maritime industries can provide personalized and prompt healthcare services to their stakeholders. This research work will highlight how ChatGPT-powered healthcare services can boost the health and well-being of seafarers. ChatGPT has the potential to revolutionize the marine sector by enabling virtual consultations with healthcare professionals for the analysis of health data. The assimilation of ChatGPT technology into maritime healthcare has the potential to revolutionize the way seafarers receive care and support. Certainly, some challenges need to be taken into consideration. [ABSTRACT FROM AUTHOR]

This letter highlights a pressing issue regarding the absence of established editorial policies for the utilization of AI tools (e.g., ChatGPT) in the peer review process. The increasing adoption of AI tools in academic publishing necessitates the formulation of standardized guidelines to ensure fairness, transparency, and accountability. Without clear editorial policies, there is a threat of compromising the integrity of the peer review process and undermining the credibility of academic publications. Urgent attention is needed to address this gap and establish robust protocols that govern the use of AI tools in peer review. [ABSTRACT FROM AUTHOR]

Recently, the interest in AI-guided ChatGPT has increased day-to-day, and different applications have been explored, including the medical field. The publication number is also increasing. At the same time, people are trying to get medical information from this Chartbot. However, researchers found that ChatGPT also provides partly correct or false information. Therefore, in this article, we urge the researchers to develop an AI-enabled, next-generation, advanced ChatGPT or large language models (LLMs) so that people can get accurate and error-free medical information. [ABSTRACT FROM AUTHOR]

Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications' popularity. The majority of AI-based applications in clinical practice are still far from simple-to-use applications with user-friendly interfaces. Therefore, simplifying operations is one key to AI-based medical applications' success. [ABSTRACT FROM AUTHOR]

The nursing field has undergone notable changes over time and is projected to undergo further modifications in the future, owing to the advent of sophisticated technologies and growing healthcare needs. The advent of ChatGPT, an AI-powered language model, is expected to exert a significant influence on the nursing profession, specifically in the domains of patient care and instruction. The present article delves into the ramifications of ChatGPT within the nursing domain and accentuates its capacity and constraints to transform the discipline. [ABSTRACT FROM AUTHOR]

As artificial intelligence (AI) permeates various fields, ChatGPT emerges as a contentious force in biomedical engineering, stirring both excitement and concern. This letter explores the disruptive potential and controversial implications of ChatGPT on research, collaboration, and the future of the field. By presenting thought-provoking questions and confronting divisive issues, we aim to spark a lively debate on the responsible integration of AI technology in biomedical engineering while safeguarding the essence of human expertise. [ABSTRACT FROM AUTHOR]

Obesity has become a serious global health problem. For some patients who cannot be treated with traditional methods, artificial intelligence technologies are a new source of hope. Chat GPT is a language model that has become popular in recent times and has many applications in natural language processing. This article focuses on the potential use of Chat GPT in obesity treatment. Chat GPT can provide personalized recommendations on topics, such as nutrition plans, exercise programs, and psychological support. In this way, a personalized treatment plan can be created based on the individual needs of patients and a more effective approach to obesity treatment can be achieved. However, some ethical and security concerns should also be considered regarding the use of this technology. In conclusion, the potential of Chat GPT in obesity treatment is promising, and with the effective use of this technology, better results can be achieved in obesity treatment. [ABSTRACT FROM AUTHOR]

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is able to plan people's daily activities, even for a whole month. However, what matters is what activities ChatGPT recommends. When ChatGPT was trained on a vast amount of data from the Internet, we wondered if it would suggest activities that can lead to addiction. In our test, not once did ChatGPT recommend an activity related to alcohol, drug use, or any other activity that can lead to addiction with serious health consequences. Suggestions seemed more like self-improvement posts on blogs than discussion forums where people might mention drinking in the evenings. Thus, if a person were to use ChatGPT as a personal lifestyle advisor, it does not appear on the basis of this test that ChatGPT would recommend activities that would be fundamentally detrimental to their health. However, more detailed long-term testing of similar tools is needed before recommendations for use in practice can be made. [ABSTRACT FROM AUTHOR]

ChatGPT, a language model developed by OpenAI, has the potential to play a role in public health. With its ability to generate human-like text based on large amounts of data, ChatGPT has the potential to support individuals and communities in making informed decisions about their health (Panch et al. Lancet Digit Health 1:e13–e14, 2019; Baclic et al. Canada Commun Dis Rep 46.6:161, 2020). However, as with any technology, there are limitations and challenges to consider when using ChatGPT in public health. In this overview, we will examine the potential uses of ChatGPT in public health, as well as the advantages and disadvantages of its use. [ABSTRACT FROM AUTHOR]