AIMC Topic: Clinical Competence

Clear Filters Showing 571 to 580 of 691 articles

Virtual and Augmented Reality in Undergraduate Medical Education in Psychiatry: A Systematic Review.

The clinical teacher
BACKGROUND: Simulation is widely used in medical education in all specialties; in psychiatry, it usually relies on standardised patients played by actors. Virtual and augmented reality (VR and AR) have the potential to provide standardised and replic...

The Current Landscape of Artificial Intelligence in Plastic Surgery Education and Training: A Systematic Review.

Journal of surgical education
OBJECTIVE: Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery education remains underexplored. This review evaluates the current landscape of AI in plastic surgery education.

Kinematic analysis of lumbar pedicle screw placement using an artificial intelligence framework.

Neurosurgical focus
OBJECTIVE: Robotics and artificial intelligence (AI) are being increasingly integrated in spine surgery. One emerging application of AI is in hand motion detection to assess surgical skill. However, no standardized framework currently exists for eval...

The Predictive Value of Basic Laparoscopic Evaluations on Complex Cases Using the Society for Improving Medical Procedural Learning Database.

The Journal of surgical research
INTRODUCTION: The transference of technical skills from basic to complex procedures is assumed-but untested-during training and board certification. We examine whether resident performance on frequently performed, basic laparoscopic procedures can pr...

Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion.

Medical image analysis
Endoscopic Submucosal Dissection (ESD) constitutes a firmly well-established technique within endoscopic resection for the elimination of epithelial lesions. Dissection trajectory prediction in ESD videos has the potential to strengthen surgical skil...

Artificial intelligence (AI) performance on pharmacy skills laboratory course assignments.

Currents in pharmacy teaching & learning
OBJECTIVE: To compare pharmacy student scores to scores of artificial intelligence (AI)-generated results of three common platforms on pharmacy skills laboratory assignments.

Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.

International wound journal
This study investigatedĀ the relationship between clinician assessments and the AI-generated scores, highlighting how correlations vary based on clinician expertise. It also explored the proportion of tissue types identified by clinicians relative to ...

Improving microsurgical suture training with automated phase recognition and skill assessment via deep learning.

Computers in biology and medicine
Microsurgical suturing demands a high level of precision, skill, and extensive training to ensure success in delicate procedures. In this study, we created a deep-learning approach for automating phase recognition and skill assessment in microsurgica...

Automatic gesture recognition and evaluation in peg transfer tasks of laparoscopic surgery training.

Surgical endoscopy
BACKGROUND: Laparoscopic surgery training is gaining increasing importance. To release doctors from the burden of manually annotating videos, we proposed an automatic surgical gesture recognition model based on the Fundamentals of Laparoscopic Surger...

Comparison of ChatGPT plus (version 4.0) and pretrained AI model (Orthopod) on orthopaedic in-training exam (OITE).

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
INTRODUCTION: Recent advancements in large language model (LLM) artificial intelligence (AI) systems, like ChatGPT, have showcased ability in answering standardized examination questions, but their performance is variable. The goal of this study was ...