AIMC Topic: Clinical Competence
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Gemini AI vs. ChatGPT: A comprehensive examination alongside ophthalmology residents in medical knowledge.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Sep 15, 2024
INTRODUCTION: The rapid advancement of artificial intelligence (AI), particularly in large language models like ChatGPT and Google's Gemini AI, marks a transformative era in technological innovation. This study explores the potential of AI in ophthal...
AI in obstetrics: Evaluating residents' capabilities and interaction strategies with ChatGPT.
European journal of obstetrics, gynecology, and reproductive biology
Sep 14, 2024
In line with the digital transformation trend in medical training, students may resort to artificial intelligence (AI) for learning. This study assessed the interaction between obstetrics residents and ChatGPT during clinically oriented summative eva...
Artificial Intelligence in Orthopaedics: Performance of ChatGPT on Text and Image Questions on a Complete AAOS Orthopaedic In-Training Examination (OITE).
Journal of surgical education
Sep 14, 2024
OBJECTIVE: Artificial intelligence (AI) is capable of answering complex medical examination questions, offering the potential to revolutionize medical education and healthcare delivery. In this study we aimed to assess ChatGPT, a model that has demon...
Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education.
BMC medical education
Sep 13, 2024
BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The management of these conditions necessitates cardiologists to possess strong clinical reasoning and individua...
Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills.
Advances in health sciences education : theory and practice
Sep 9, 2024
Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances -...
Artificial Intelligence in the Training of Radiology Residents: a Multicenter Randomized Controlled Trial.
Journal of cancer education : the official journal of the American Association for Cancer Education
Sep 7, 2024
The aim of the present study was to compare the effectiveness of AI-assisted training and conventional human training in clinical practice. This was a multicenter, randomized, controlled clinical trial conducted in five national-level residency train...
The impact of deep learning on diagnostic performance in the differentiation of benign and malignant thyroid nodules.
Medical ultrasonography
Sep 4, 2024
AIMS: This study aims to use deep learning (DL) to classify thyroid nodules as benign and malignant with ultrasonography (US). In addition, this study investigates the impact of DL on the diagnostic success of radiologists with different experiences....
CORR® Curriculum-Orthopaedic Education: Artificial Intelligence and Surgical Assessment.
Clinical orthopaedics and related research
Sep 3, 2024
Automated surgical skill assessment in colorectal surgery using a deep learning-based surgical phase recognition model.
Surgical endoscopy
Aug 30, 2024
BACKGROUND: There is an increasing demand for automated surgical skill assessment to solve issues such as subjectivity and bias that accompany manual assessments. This study aimed to verify the feasibility of assessing surgical skills using a surgica...
Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers.
Journal of medical imaging and radiation sciences
Aug 27, 2024
INTRODUCTION: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' a...
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