Latest AI and machine learning research in medical education for healthcare professionals.
has a variety of compounds, and some of these compounds may have anti-inflammatory and antioxidant properties. In the present study, we identified the compounds in the leaf extract of through Gas Chromatography-Mass Spectrometry (GC-MS) analysis and found the various metabolites. The compounds are screened virtually using a machine learning model, followed by molecular docking and simulation stu...
Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's interest in learning and improve their learning quality. The existing research has not paid attention to the application of robotics education in children. It is necessary to stimulate children's interest in learning. This paper will take senior kindergart...
The treatment of patients with balance disorders is an urgent problem to be solved by the medical community. The causes of balance disorders are diver...
PURPOSE: ChatGPT-4 is an upgraded version of an artificial intelligence chatbot. The performance of ChatGPT-4 on the United States Medical Licensing E...
The development of next-generation sequencing (NGS) opens opportunities for new applications such as liquid biopsy, in which tumor mutation genotypes ...
The use of artificial intelligence technologies (AIT) in medicine is increasing worldwide. In this study, it was aimed to evaluate the experiences, op...
Technological advancements in computer science have started to bring artificial intelligence (AI) from the bench closer to the bedside. While there is...
Robotic surgery continues to revolutionize the field of urologic surgery, and thus it is crucial that graduating urologic surgery residents demonstrat...
Accurate scatter estimation is important in quantitative SPECT for improving image contrast and accuracy. With a large number of photon histories, Mon...
The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, thei...
Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism...
This study aims to analyze the effect of psychological health based on artificial intelligence agent technology on the implementation effect of Japane...
The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities acr...
Artificial intelligence (AI) is the science and engineering of making intelligent machines. In medical education, the usefulness of AI and its applica...
Robotic-assisted general surgery is experiencing exponential growth. Despite our institution's high volume, residents often graduate with inadequate c...
Robotic surgical systems have rapidly become integrated into colorectal surgery practice in recent years, particularly for rectal resections, where t...
OBJECTIVES: The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lung SBRT treatments using fiducial-free soft-tissue ...
Numerical method is widely used for solving the mechanistic models of chromatography process, but it is time-consuming and hard to response in real-ti...
Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classification. However, existing methods use a training...
BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verific...