AIMC Topic: Clinical Competence

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RCFLA-YOLO: a deep learning-driven framework for the automated assessment of root canal filling quality in periapical radiographs.

BMC medical education
BACKGROUND: Evaluating the quality of root canal filling (RCF) performed by dental students in preclinical settings is a time-consuming process for clinicians and is often subjectively assessed.

Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.

BMC medical education
BACKGROUND: Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in surgical education by offering dynamic, interactive learning experiences. Despite their potential, concerns about the accuracy, depth of knowledge, an...

Assessing medical students' readiness for artificial intelligence after pre-clinical training.

BMC medical education
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
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
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
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
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
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
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
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...