AIMC Topic: Clinical Competence
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Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.
BMC medical education
Apr 22, 2025
BACKGROUND: Objective measures and large datasets are needed to determine aspects of the Clinical Learning Environment (CLE) impacting the essential skill of clinical reasoning documentation. Artificial Intelligence (AI) offers a solution. Here, the ...
Automated assessment of simulated laparoscopic surgical skill performance using deep learning.
Scientific reports
Apr 19, 2025
Artificial intelligence (AI) has the potential to improve healthcare and patient safety and is currently being adopted across various fields of medicine and healthcare. AI and in particular computer vision (CV) are well suited to the analysis of mini...
Development and Validation an AI Model to Improve the Diagnosis of Deep Infiltrating Endometriosis for Junior Sonologists.
Ultrasound in medicine & biology
Apr 17, 2025
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).
AI-enhanced guidance demonstrated improvement in novices' Apical-4-chamber and Apical-5-chamber views.
BMC medical education
Apr 17, 2025
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...
Assessing ChatGPT 4.0's Capabilities in the United Kingdom Medical Licensing Examination (UKMLA): A Robust Categorical Analysis.
Scientific reports
Apr 15, 2025
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 ...
Mapping the use of artificial intelligence in medical education: a scoping review.
BMC medical education
Apr 12, 2025
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....
Assessing the performance of ChatGPT-4o on the Turkish Orthopedics and Traumatology Board Examination.
Joint diseases and related surgery
Apr 5, 2025
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...
Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The "Marginal Gains" pilot study.
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...
Accuracy of LLMs in medical education: evidence from a concordance test with medical teacher.
BMC medical education
Mar 26, 2025
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 ...
Accuracy and quality of ChatGPT-4o and Google Gemini performance on image-based neurosurgery board questions.
Neurosurgical review
Mar 25, 2025
Large-language models (LLMs) have shown the capability to effectively answer medical board examination questions. However, their ability to answer imagebased questions has not been examined. This study sought to evaluate the performance of two LLMs (...
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