AIMC Topic: Clinical Competence
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Assessing medical students' readiness for artificial intelligence after pre-clinical training.
BMC medical education
Jun 2, 2025
BACKGROUND: Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitating healthcare professionals' proficiency in its use. Medical students and practitioners require fundamental understanding and skills development to m...
The Effect of a Generative AI-Based Teaching Strategy on Building Students' Competency.
The Journal of nursing education
Jun 1, 2025
BACKGROUND: Assessment of the initial medical history data for pregnant women is an essential component of nursing training. Therefore, understanding clinical patient characteristics is crucial for developing students' ability to independently manage...
Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.
International journal of computer assisted radiology and surgery
May 31, 2025
PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key events, functioning as a building block for efficient video review, surgical education as well as skill assessment. Pr...
Performance of single-agent and multi-agent language models in Spanish language medical competency exams.
BMC medical education
May 7, 2025
BACKGROUND: Large language models (LLMs) like GPT-4o have shown promise in advancing medical decision-making and education. However, their performance in Spanish-language medical contexts remains underexplored. This study evaluates the effectiveness ...
Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination.
BMC medical education
May 1, 2025
BACKGROUND: Objective Structured Clinical Examinations (OSCEs) are widely used in medical education to assess students' clinical and professional skills. Recent advancements in artificial intelligence (AI) offer opportunities to complement human eval...
Artificial intelligence alert system based on intraluminal view for colonoscopy intubation.
Scientific reports
Apr 28, 2025
Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perforation. There is still a lack of quantitative analysis methods for red-out views. We aimed to develop an artificial intelligence (AI)-based system to...
AI-generated questions for urological competency assessment: a prospective educational study.
BMC medical education
Apr 25, 2025
BACKGROUND: The integration of artificial intelligence (AI) in medical education assessment remains largely unexplored, particularly in specialty-specific evaluations during clinical rotations. Traditional question development methods are time-intens...
Generalizability of Artificial Intelligence Assessments in Laparoscopic Surgery Simulation.
The Journal of surgical research
Apr 24, 2025
INTRODUCTION: The application of artificial intelligence (AI) in the assessment of procedural skills on a simulation platform using the global rating scale (GRS) has shown promise. Our team developed an open-source, low-cost simulation platform for t...
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...
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