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Keywords: Chicago; State:Illinois; United States; North and Central America; Algorithms; Cyborgs; Emerging Technologies; Health and Medicine; Machine Learning EN Chicago State:Illinois United States North and Central America Algorithms Cyborgs Emerging Technologies Health and Medicine Machine Learning 380 380 1 05/22/23 20230526 NES 230526 2023 MAY 28 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Fresh data on Machine Learning are presented in a new report. Machine learning algorithms may be used to compare the risk of failure of specific patient-procedure combinations in the treatment of cartilage defects of the knee. [Extracted from the article]

A new report discusses the use of supermicrosurgical lymphaticovenular anastomosis as a treatment for lymphedema. The report highlights that while the procedure is effective, there are currently no established standards for the type, location, and number of anastomoses, leading to variations in surgical approaches. The researchers conducted a comprehensive literature search and identified 16 papers that met their criteria for inclusion. The efficacy scores of the techniques ranged from 0.21 to 1, with intraoperative patency ranging from 80% to 100% and 30-day patency ranging from 60% to 100%. The researchers emphasize the need for further studies to validate and compare the reviewed techniques. [Extracted from the article]

Keywords: Algorithms; Computers; Endoscopy; Health and Medicine; Minimally Invasive Surgical Procedures; Surgery EN Algorithms Computers Endoscopy Health and Medicine Minimally Invasive Surgical Procedures Surgery 686 686 1 08/28/23 20230903 NES 230903 2023 SEP 3 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Research findings on endoscopy are discussed in a new report. Algorithms, Computers, Endoscopy, Health and Medicine, Minimally Invasive Surgical Procedures, Surgery. [Extracted from the article]

A study conducted by researchers at the University of Salerno in Italy has developed a user-friendly algorithm to assist surgeons in pedicle arthrodesis operations for spine surgery. The algorithm uses 3D scans of a patient's vertebra to identify the optimal direction for screw insertion and select the best screws to maximize bone occupation without intersecting each other or going through the walls of the pedicle and vertebral body. The algorithm has been tested on six vertebrae and allows surgeons to freely choose the entry point for the screw. This research represents a novel approach in the field and provides surgeons with a tool for planning their surgeries and creating customized surgical templates. [Extracted from the article]

The news reporters obtained a quote from the research from the School of Engineering and Design, "This paper reviews noise reduction algorithms in cochlear implants. Keywords: Sligo; Ireland; Europe; Algorithms; Cochlear Implants; Electronics; Health and Medicine; Implant Technology; Medical Devices; Signal Processing; Surgery; Surgical Technology EN Sligo Ireland Europe Algorithms Cochlear Implants Electronics Health and Medicine Implant Technology Medical Devices Signal Processing Surgery Surgical Technology 511 511 1 03/23/23 20230310 NES 230310 2023 MAR 12 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Investigators discuss new findings in Implant Technology - Cochlear Implants. [Extracted from the article]

A researcher from Renmin Hospital of Wuhan University in China has published new data on the use of machine learning and natural language processing algorithms in the remote mobile medical diagnosis system of internet hospitals. The study aimed to integrate internet technology into the medical field and improve the accuracy of medical diagnoses. The research found that the remote mobile medical diagnosis system based on machine learning achieved an accuracy of 80% or higher compared to traditional systems. The study suggests that this system has a broad application prospect and can accommodate more than 10,000 people simultaneously. [Extracted from the article]

This paper proposes a motion-signal-processing-based algorithm utilizing the wavelet packet transform (WPT) with a fourth-order Coiflet mother wavelet. Keywords: Algorithms; Electronics; Risk and Prevention; Signal Processing EN Algorithms Electronics Risk and Prevention Signal Processing 1163 1163 1 10/03/23 20231006 NES 231006 2023 OCT 8 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- New study results on algorithms have been published. [Extracted from the article]

Keywords: Algorithms; Health and Medicine; Sensor Research; Technology EN Algorithms Health and Medicine Sensor Research Technology 639 639 1 06/26/23 20230702 NES 230702 2023 JUL 2 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- New study results on sensor research have been published. To address these issues, this paper improves the YOLOv7x object detection algorithm and applies it to the surgical instrument detection task. [Extracted from the article]

A recent study conducted at COMSATS University in Islamabad, Pakistan, has focused on the importance of selecting the right medical device manufacturer in healthcare systems. The researchers developed a decision-making algorithm based on fuzzy theory to assist in choosing the most suitable worldwide medical device manufacturer. They utilized complex q-rung orthopair fuzzy Yager aggregation operators and tested their efficacy in multi-criteria decision-making. The results demonstrated the adaptability and efficiency of the proposed algorithm and aggregation operators. The research has been peer-reviewed and confirmed to produce precise and accurate outcomes. [Extracted from the article]

Researchers from the University of Electronic Science and Technology of China have developed an intelligent inspection guidance system for urethral endoscopy. The system combines image processing, simultaneous localization and mapping (SLAM), and intelligent navigation technologies to assist doctors in conducting a quick and comprehensive examination. The system uses a generative adversarial network-based deblurring algorithm and a vascular attention-based feature extraction algorithm to improve accuracy in identifying urethral vascular features. The research concludes that the proposed method is more accurate and comprehensive, resulting in a 4.34% accuracy improvement. [Extracted from the article]

A recent report from Shanghai Jiao Tong University in China discusses the use of soft robots in cardiac surgery. Soft robots are known for their ability to interact safely with organs and have lower risks of damage compared to rigid robots. The researchers propose an adaptive iterative learning controller to track the irregular motion of the beating heart during surgery. The algorithm has been proven to improve control precision and stability compared to traditional controllers. The research provides valuable insights into the potential of soft robots in surgical applications. [Extracted from the article]

Keywords: Algorithms; Cardio Device; Cardiology; Cardiovascular; Cardiovascular Diseases and Conditions; Cardiovascular Research; Genetic Algorithms; Health and Medicine; Medical Devices EN Algorithms Cardio Device Cardiology Cardiovascular Cardiovascular Diseases and Conditions Cardiovascular Research Genetic Algorithms Health and Medicine Medical Devices 492 492 1 06/05/23 20230611 NES 230611 2023 JUN 5 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Data detailed on cardiovascular diseases and conditions have been presented. In this paper, a novel Genetic Algorithm-based ECG Leads and Segment Length Optimization (GA-LSLO) framework is proposed, aiming to automatically select the appropriate leads and input ECG length to achieve optimized cardiovascular disease detection. [Extracted from the article]

Hebei, People's Republic of China, Asia, Algorithms, Information Technology, Information and Data Encoding and Encryption, Telemedicine, Encryption Algorithms Keywords: Hebei; People's Republic of China; Asia; Algorithms; Encryption Algorithms; Information Technology; Information and Data Encoding and Encryption; Telemedicine EN Hebei People's Republic of China Asia Algorithms Encryption Algorithms Information Technology Information and Data Encoding and Encryption Telemedicine 489 489 1 04/03/23 20230404 NES 230404 2023 APR 9 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Research findings on Telemedicine are discussed in a new report. According to the news reporters, the research concluded: "The experimental results and security analysis show that the proposed EEG signal encryption scheme performs well and passes the rigorous cryptographic security test.(.". [Extracted from the article]

A study conducted by researchers at Zhengzhou University of Aeronautics explores the optimization of overseas surgical warehouse locations in cross-border medical supply chain networks using parallel big data mining. The researchers propose an algorithm that takes into account factors such as cross-border transportation cost, local transportation cost, warehouse operation cost, and market value to determine the best location for overseas warehouses. By introducing the concept of time window and customer satisfaction, a multi-objective location model is established. The study concludes that the proposed algorithm effectively improves user satisfaction, optimal probability, and reduces system costs. [Extracted from the article]

This classification method provides crucial target frame information for enhancing surgical smoke removal, improving the scientific robustness, and enhancing the real-time processing capabilities of image-based smoke removal method. Keywords: Algorithms; Health and Medicine; Neuroscience; Science EN Algorithms Health and Medicine Neuroscience Science 211 211 1 10/09/23 20231013 NES 231013 2023 OCT 15 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Researchers detail new data in neuroscience. [Extracted from the article]

"Placement of augmented reality content over real world objects requires precise tracking of such objects in consequent frames of video stream. It is important to mention that interest in AR is growing due to more widespread distribution of mobile terminals to which AR technology may be applied, such as, a smart phone. "Various prior art systems and methods for displaying augmented reality (AR) content are known. [Extracted from the article]

A patent has been issued to Kepler Vision Technologies for a medical device that uses machine learning to transcribe appearances in an image to text. The device analyzes images using machine learning models to detect and label human beings, and then transcribes their appearances to text. This invention aims to improve documentation in healthcare, saving time for healthcare workers and reducing errors. The device has the potential to save lives, improve patient care, and reduce costs in the healthcare industry. [Extracted from the article]

Researchers from Charles Sturt University (CSU) in Bathurst, Australia have developed an algorithm called the Enhanced Real-time Video (ERV) algorithm to improve the transmission of real-time video in surgical tele-education. The algorithm aims to reduce delays and improve video quality by optimizing bandwidth usage and choosing the most reliable communication route. Comparative analyses show that the ERV algorithm significantly improves the Peak Signal-to-Noise Ratio (PSNR) of videos and reduces processing time. The research concludes that the ERV method enhances transmission efficiency and improves the quality of real-time video in surgical tele-education. [Extracted from the article]

A recent study conducted by researchers at Tzu Chi University in Taiwan aimed to predict the risk factors of disease recurrence in patients with advanced-stage head and neck cancer. The study utilized a machine learning algorithm called eXtreme Gradient Boosting (XGBoost) to analyze clinical data from 187 patients who received surgery and adjuvant radiotherapy with or without chemotherapy. The researchers found that pathological lymph node status and whether the patient was receiving chemotherapy were the most important factors associated with treatment outcome. The study concluded that further research is needed to develop a stronger model for predicting outcomes in these patients. [Extracted from the article]

A study conducted at Khon Kaen University in Thailand explores the implementation of real-time surgical instrument segmentation using computer vision technology. The researchers incorporated ByteTrack, an object tracking system, into the YOLOv8 deep learning algorithm for object detection and segmentation. The study used datasets from the ROBUST-MIS 2019 challenge and performed real-time segmentation of surgical instruments during laparoscopic gynecologic surgery. The findings suggest that the modified model incorporating ByteTrack with YOLOv8 improves segmentation accuracy and outperforms previous studies. However, there were still some segmentation failures in crossing and overlapping gestures. [Extracted from the article]

A recent study from Guangzhou University in China has proposed a new algorithm for telemedicine applications that aims to protect the privacy of electronic patient information. The algorithm combines reversible data hiding (RDH) with secure multi-party computation to embed secret data into image blocks. The experimental results show that the proposed algorithm has a higher embedding rate compared to other algorithms and exhibits robustness against existing attacks. This research has been peer-reviewed and provides valuable insights into privacy protection in telemedicine. [Extracted from the article]

A recent report from Wuhan University in Hubei, China discusses the development of a novel electromagnetic positioning method for virtual surgery simulation. The researchers used Maxwell coils to generate a uniform gradient magnetic field and proposed two positioning algorithms based on magnetic field. Through simulation and practical experiments, they found that the positioning system exhibited excellent accuracy and speed, with consistent results regardless of the position of surgical instruments. The magnetic sensor fixed on the surgical instrument combined with the proposed positioning algorithm allowed for real-time positioning and display in the simulation environment. This research has been peer-reviewed and provides valuable insights into low-risk surgical training methods using virtual reality technology. [Extracted from the article]

A research study conducted at Wuhan University explores the application of sensor imaging technology and image fusion algorithms in sculpture design. The traditional method of hand carving sculptures is time-consuming and lacks uniformity in quality. The study introduces a computer imaging system that combines virtual sculpture models with real scene video images to generate augmented reality images. The experimental results demonstrate that computer imaging technology using image fusion algorithms improves the efficiency and accuracy of sculpture design, allowing designers to better understand the shape and proportion of sculptures. The study was published in Measurement: Sensors and more information can be obtained from the School of Art and Design at Wuhan University. [Extracted from the article]

A recent report from the University of Nebraska Medical Center discusses research on epilepsy and the localization of eloquent cortices, which is important for neurosurgical applications such as epilepsy and tumor resections. The researchers propose a method to post-process distributed source localization results to identify the area and boundary of the cortical tissue that primarily activates in response to somatosensory stimulation. The algorithm successfully localized somatosensory responses on the cortical surface in anatomically appropriate regions, reducing subjectivity associated with dipole localization. The research concludes that the algorithm is not inferior to dipole localization and provides additional pre-surgical information on the location and spatial distribution of eloquent cortical areas. [Extracted from the article]

A recent study from Beihang University in Beijing, China, explores a novel method for enhancing the image quality of neutron projection images. Neutron imaging technology is a non-destructive testing technique that combines nuclear technology with digital imaging technology. The study focuses on improving the image quality of neutron projection images of lithium-ion batteries by addressing issues such as speckle noise, low brightness, and lack of clarity. The proposed method effectively removes speckle noise, improves image clarity and contrast, and has shown good universality in enhancing neutron projection images of non-lithium battery samples as well. The research has been peer-reviewed and provides valuable insights into the field of imaging technology. [Extracted from the article]

A recent study conducted at the University Teaching Hospital in Modena, Italy, has provided new insights into the management of petrous apex cholesterol granulomas (PACGs). PACGs are benign inflammatory cystic lesions of the temporal bone that can cause symptoms as they expand. The study proposed a CT-based classification and management algorithm for PACGs, categorizing them into three types based on the extent of involvement. The researchers found that Type A PACGs, which are mostly asymptomatic, can be managed with "wait and scan," while Type B and Type C PACGs should undergo surgery when symptoms are present due to their invasiveness and potential complications. The study also highlighted the importance of preoperative general and hearing status in determining the completeness of surgical resection. [Extracted from the article]

Researchers at the University of Belgrade have developed a logic-based machine learning algorithm called IBA-VNS that aims to improve the interpretability and explainability of machine learning models. The algorithm incorporates interpolative Boolean algebra (IBA) and variable neighborhood search (VNS) to create logic aggregation functions that are easy to understand and provide additional insight to decision-makers. The researchers applied the IBA-VNS algorithm to predict hospital length of stay (LOS) for colorectal surgeries and achieved exceptional results in terms of interpretability and accuracy. The algorithm does not require domain knowledge and can be applied in various domains. [Extracted from the article]

A researcher from Shanghai Dianji University has conducted a study on algorithms in the field of prosthetics. The study focuses on improving the interaction between a shoulder-disconnected upper limb prosthesis and the environment. The researcher proposes a reinforcement learning-based method for controlling the forearm interaction of the prosthesis, which reduces uncertainty and ensures stability during interaction. Simulation experiments showed positive results, indicating that the control method effectively improved the interaction between the robotic arm and the environment. The study provides valuable insights into the development of more advanced and user-friendly prosthetic devices. [Extracted from the article]

Researchers from the University of Anbar have developed a deep learning algorithm using EfficientNet B3 for the detection of lung cancer. The algorithm aims to improve detection accuracy and potentially revolutionize medical imaging and patient care. The model was able to classify four different types of lung cancer with an accuracy rate of 96%, showing a 2.13% improvement compared to the best-trained classifier. The researchers believe that this model has the potential to enhance lung cancer detection and support early diagnosis. [Extracted from the article]

A recent report discusses research conducted at the University of Science and Technology of China on the development of a new algorithm called OrthoDETR. This algorithm is specifically designed for the detection of orthopedic medical devices and aims to improve workflow efficiency in healthcare delivery. OrthoDETR outperformed other models in a comparative study, achieving higher accuracy and faster detection rates. The researchers believe that OrthoDETR has the potential to revolutionize orthopedic workflows and enhance patient care. Further research in this area is encouraged. [Extracted from the article]

A report from Shaanxi University of Science & Technology discusses a new calibration method for the Robot-Assisted Percutaneous Puncture (RAPP) system, which is used in robotic surgery. The study proposes a method that combines hand-eye calibration and robot kinematic parameters calibration to enhance the precision and success rate of surgeries using the RAPP system. The researchers conducted numerical simulations and puncture experiments to compare the proposed method with other methods, and found that it significantly improved the puncture accuracy of the RAPP system. Overall, this calibration method contributes to the precision, operational capability, and safety of the RAPP system in practical applications. [Extracted from the article]

Researchers from Huaqiao University in Xiamen, China have developed an improved algorithm called YOLOv5 for the recognition of surgical instruments. The algorithm incorporates a squeeze-and-excitation attention module to enhance feature extraction, improves the loss function with more global parameters for faster convergence, and adds an efficient convolution algorithm to reduce computational complexity. Experimental results showed that the algorithm outperformed the original YOLOv5, achieving an 88.7% mean average precision and reducing computational requirements by 39%. This study provides a simple and effective method for automatically detecting, classifying, and sorting surgical instruments. [Extracted from the article]

Researchers at Yancheng Teachers University in China have developed a new color image-encryption algorithm to enhance the security of digital images. The algorithm utilizes extended DNA coding, Zig-Zag transform, and a fractional-order laser system to encrypt the images. The researchers analyzed the chaotic sequences generated by the laser system and used them to design the encryption algorithm. The algorithm was found to have strong encryption capabilities and can withstand multiple decryption methods. This research contributes to the field of information and data encoding and encryption, ensuring the integrity and secure communication of digital images. [Extracted from the article]

A study conducted by researchers from the Chinese Academy of Sciences explores the use of algorithms in controlling the bearingless permanent magnet slice motor for blood pumps. The researchers propose a sliding mode control method based on the genetic particle swarm optimization algorithm to address issues such as strong coupling, interference, nonlinearity, and uncertainty. Through simulations, they demonstrate that this control method improves the performance of the motor compared to traditional methods. The study concludes that the blood flow can meet expectations with a small error, satisfying the blood perfusion requirements of the blood pump. [Extracted from the article]

For more information on this research see: A Standalone Computing System To Classify Human Foot Movements Using Machine Learning Techniques for Ankle-foot Prosthesis Control. First, Raspberry Pi was used to acquire EMG/FMG signals and to classify foot movements in real-time using different machine learning techniques. [Extracted from the article]

Based on the characteristic wavelength extracted using the above methods, a genetic algorithm optimization support vector machine (GA-SVM) model and a least-squares support vector machine (LS-SVM) model were used to establish classification models. Keywords: Algorithms; Diagnostics and Screening; Emerging Technologies; Health and Medicine; Imaging Technology; Machine Learning; Support Vector Machines; Technology; Vector Machines EN Algorithms Diagnostics and Screening Emerging Technologies Health and Medicine Imaging Technology Machine Learning Support Vector Machines Technology Vector Machines 1242 1242 1 10/16/23 20231020 NES 231020 2023 OCT 22 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Investigators discuss new findings in imaging technology. [Extracted from the article]

Keywords for this news article include: Dalian, People's Republic of China, Asia, Mathematics, Algorithms, Health and Medicine, Hospitals, Dalian University of Technology. Keywords: Dalian; People's Republic of China; Asia; Mathematics; Algorithms; Health and Medicine; Hospitals EN Dalian People's Republic of China Asia Mathematics Algorithms Health and Medicine Hospitals 661 661 1 09/25/23 20230925 NES 230925 2023 OCT 1 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Current study results on Mathematics have been published. [Extracted from the article]

Keywords: Yulin; People's Republic of China; Asia; Algorithms; Cybersecurity; Entertainment; Health and Medicine; Sporting Activities; Table Tennis; Telemedicine; Tennis EN Yulin People's Republic of China Asia Algorithms Cybersecurity Entertainment Health and Medicine Sporting Activities Table Tennis Telemedicine Tennis 825 825 1 09/19/23 20230924 NES 230924 2023 SEP 24 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Researchers detail new data in Telemedicine. For accurate prediction of diseases and classification of athletes' data, deep learning algorithms are frequently used at the cloud.". [Extracted from the article]

Keywords: Gwangju; South Korea; Asia; Engineering; Algorithms; Health and Medicine; Medical Devices EN Gwangju South Korea Asia Engineering Algorithms Health and Medicine Medical Devices 1007 1007 1 07/03/23 20230707 NES 230707 2023 JUL 9 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Data detailed on Engineering have been presented. Because the catheter has a cylindrical structure, two signal-receiving coils (Rx) are attached to the end tip of the catheter and three signal-transmitting coils (Tx) are mounted on the subject's bed for procedure compatibility. [Extracted from the article]

Keywords: Giza; Egypt; Africa; Intelligent Systems; Machine Learning; Algorithms; Health and Medicine; Medical Devices EN Giza Egypt Africa Intelligent Systems Machine Learning Algorithms Health and Medicine Medical Devices 253 253 1 07/03/23 20230707 NES 230707 2023 JUL 9 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Investigators discuss new findings in Machine Learning - Intelligent Systems. The purpose of this task scheduler is to handle the tasks of a heart rate sensor and a temperature sensor to optimize the energy consumption throughout wearable medical devices. [Extracted from the article]

In the proposed data-hiding algorithm, a combination of the medical image Metadata and a MAC is embedded into the medical image. Keywords: Algorithms; Emerging Technologies; Engineering; Hospitals; Machine Learning; Vector Quantization EN Algorithms Emerging Technologies Engineering Hospitals Machine Learning Vector Quantization 537 537 1 06/26/23 20230702 NES 230702 2023 JUL 2 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Investigators publish new report on engineering. [Extracted from the article]

Flexible piezoelectric acoustic sensor fabricated integrally with Si as the supporting substrate, voice sensor using thin film polymer and voice sensor with different thickness and voice sensing method using same. "Description of the Related Art "A voice recognition sensor refers to a sensor that extracts and recognizes linguistic information from acoustic information included in human voice and makes a response thereto. [Extracted from the article]