AIMC Topic: Clinical Competence

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An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.

Journal of surgical education
PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for the da Vinci surgical system. Herein, we investigate several repetitive training schedules and determine which is the most effective.

Face, content, and construct validity of four, inanimate training exercises using the da Vinci ® Si surgical system configured with Single-Site ™ instrumentation.

Surgical endoscopy
BACKGROUND: Validated training exercises are essential tools for surgeons as they develop technical skills to use robot-assisted minimally invasive surgical systems. The purpose of this study was to show face, content, and construct validity of four,...

Variability of automated carotid intima-media thickness measurements by novice operators.

Clinical physiology and functional imaging
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical atherosclerosis. The aim of the study was to assess the inter- and intra-observer variability of automated C-IMT measurements undertaken by two novic...

Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.

Medical education online
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...

Application of real-time artificial intelligence to cataract surgery.

The British journal of ophthalmology
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses.First, our study aimed to demons...

Artificial intelligence versus ophthalmology experts: Comparative analysis of responses to blepharitis patient queries.

European journal of ophthalmology
ObjectiveTo assess the accuracy and clinical education value of responses from AI models (GPT-3.5, GPT-4o, Gemini, Gemini Advanced) compared to expert ophthalmologists' answers to common patient questions about blepharitis, and evaluate their potenti...

Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis.

International journal of computer assisted radiology and surgery
PURPOSE: Assessment of intraoperative surgical skill is necessary to train surgeons and certify them for practice. The generalizability of deep learning models for video-based assessment (VBA) of surgical skill has not yet been evaluated. In this wor...

Solving Complex Pediatric Surgical Case Studies: A Comparative Analysis of Copilot, ChatGPT-4, and Experienced Pediatric Surgeons' Performance.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
The emergence of large language models (LLMs) has led to notable advancements across multiple sectors, including medicine. Yet, their effect in pediatric surgery remains largely unexplored. This study aims to assess the ability of the artificial inte...

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

Journal of surgical education
INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with history-taking. While simulation-based training is utilized to enhance these skills, recent advancements in artificial intelligence (AI), especially deep...