OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ultrasound (US) videos and images to improve the performance of junior sonologists in detecting deep infiltrating endometriosis (DE).
INTRODUCTION: Artificial Intelligence (AI) modules might simplify the complexities of cardiac ultrasound (US) training by offering real-time, step-by-step guidance on probe manipulation for high-quality diagnostic imaging. This study investigates rea...
Advances in the various applications of artificial intelligence will have important implications for medical training and practice. The advances in ChatGPT-4 alongside the introduction of the medical licensing assessment (MLA) provide an opportunity ...
OBJECTIVE: Prior work has demonstrated that AI access can help residents more accurately detect pediatric fractures. We wished to evaluate the effectiveness of an unsupervised AI-based training module as a pediatric fracture detection educational too...
INTRODUCTION: The integration of artificial intelligence (AI) in healthcare has transformed clinical practices and medical education, with technologies like diagnostic algorithms and clinical decision support increasingly incorporated into curricula....
OBJECTIVES: This study aims to assess the overall performance of ChatGPT version 4-omni (GPT-4o) on the Turkish Orthopedics and Traumatology Board Examination (TOTBE) using actual examinees as a reference point to evaluate and compare the performance...
The integration of artificial intelligence (AI) into medical education and advanced training is gaining in importance. Especially in advanced surgical training AI offers potential to support both theoretical and practical learning processes. Applicat...
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 3, 2025
INTRODUCTION: The study aims to propose a standardised workflow with critical views for surgical quality assessment (SQA) in laparoscopic right hemicolectomy (LRH), to disseminate it through a "Marginal Gains" course, and to evaluate its impact throu...
BACKGROUND: There is an unprecedented increase in the use of Generative AI in medical education. There is a need to assess these models' accuracy to ensure patient safety. This study assesses the accuracy of ChatGPT, Gemini, and Copilot in answering ...
HPB : the official journal of the International Hepato Pancreato Biliary Association
Mar 25, 2025
BACKGROUND: Studys into factors influencing critical view of safety achievement depends on large volumes of video data and granular anatomical annotations, which are limited by the burden of inefficient manual work. Artificial intelligence (AI) has t...
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