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Background: We are currently experiencing a third digital revolution driven by artificial intelligence (AI), and the emergence of new chat generative pre-trained transformer (ChatGPT) represents a significant technological advancement with profound implications for global society, especially in the field of education., Methods: The aim of this study was to see how well ChatGPT performed on medical school exams and to highlight how it might change medical education and practice. Recently, OpenAI's ChatGPT (OpenAI, San Francisco; GPT-4 May 24 Version) was put to the test against a significant Polish medical specialization licensing exam (PES), and the results are in. The version of ChatGPT-4 used in this study was the most up-to-date model at the time of publication (GPT-4). ChatGPT answered questions from June 28, 2023, to June 30, 2023., Results: ChatGPT demonstrates notable advancements in natural language processing models on the tasks of medical question answering. In June 2023, the performance of ChatGPT was assessed based on its ability to answer a set of 120 questions, where it achieved a correct response rate of 67.1%, accurately responding to 80 questions., Conclusions: ChatGPT may be used as an assistance tool in medical education. While ChatGPT can serve as a valuable tool in medical education, it cannot fully replace human expertise and knowledge due to its inherent limitations.

Over recent years, the global healthcare system has experienced a notable increase in the prevalence of obesity and its associated health complications such as hypertension, type 2 diabetes, lipid disorders, etc. What is more, one of the significant phenomena is the increasing demand for bariatric procedures among individuals of working age due to the high prevalence of type III obesity and type II obesity with co-morbidities. This trend is pronounced in Poland, due to the increasing number of patients meeting the qualifying criteria for surgery among professionally active and inactive patients. The aim of this study is to characterize the alarmingly high number of candidates for bariatric procedures among professionally active Poles. In total, the results of 2,056,861 initial, control, and periodic visits as part of the occupational medicine certificate were analyzed-collected from 1,342,749 unique patients (51.7% men; mean age of whole group: 36.81, SD = 10.91). Statistical calculations were performed, qualitative data were assessed using percentage and occurrence counts, while qualitative data were described using mean (M), standard deviation (SD), median, skewness, kurtosis, and range values. Results with p < 0.05 were deemed significant. Chi-square analysis and one-way ANOVA (with Scheffe's post hoc test) were employed. Charts were created in the R program. It was noticed that there was a consistent rise in the proportion of individuals classified as candidates for bariatric procedures (an increase of 0.3%) alongside a notable decrease in the percentage of individuals maintaining a healthy body weight. Moreover, it is imperative to conduct yearly evaluations of the prevalence of obesity and its associated health conditions. It should be noted that hypertension occurred in 42.2% of patients, type 2 diabetes in 6.2% of patients, and lipid disorders in 8.4% of patients with third-degree obesity. This proactive approach is essential in order to adequately equip the healthcare system to address the increasing population of obese individuals, especially candidates for bariatric procedures.

Over the past few years, artificial intelligence (AI) has significantly improved healthcare. Once the stuff of science fiction, AI is now widely used, even in our daily lives - often without us thinking about it. All healthcare professionals - especially executives and medical doctors - need to understand the capabilities of advanced AI tools and other breakthrough innovations. This understanding will allow them to recognize opportunities and threats emerging technologies can bring to their organizations. We hope to contribute to a meaningful public discussion about the role of this new type of AI and how our approach to healthcare and medicine can best evolve with the rapid development of this technology. Since medicine learns by example, only a few possible uses of AI in medicine are provided, which merely outline the system's capabilities. Among the examples, it is worth highlighting the roles of AI in medical notes, education, preventive programs, consultation, triage and intervention. It is believed by the authors that large language models such as chat generative pre-trained transformer (ChatGPT) are reaching a level of maturity that will soon impact clinical medicine as a whole and improve the delivery of individualized, compassionate, and scalable healthcare. It is unlikely that AI will replace physicians in the near future. The human aspects of care, including empathy, compassion, critical thinking, and complex decision-making, are invaluable in providing holistic patient care beyond diagnosis and treatment decisions. The GPT-4 has many limitations and cannot replace direct contact between an experienced physician and a patient for even the most seemingly simple consultations, not to mention the ethical and legal aspects of responsibility for diagnosis.