This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an aud...
OBJECTIVE: Assessment of medical trainee learning through pre-defined competencies is now commonplace in schools of medicine. We describe a novel electronic advisor system using natural language processing (NLP) to identify two geriatric medicine com...
The British journal of mathematical and statistical psychology
Apr 15, 2015
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...
OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) using a laparoscopic "training box" are both used to augment operative skills in minimally invasive surgery. The current study tests the hypothesis th...
INTRODUCTION: Robotic surgery is a rapidly growing area in surgery. In an era of emphasis on cost reduction, the question becomes how do you train residents in robotic surgery? The aim of this study was to determine if there was a difference in opera...
To determine the comparative accuracy of seven generative artificial intelligence (GenAI) platforms in answering multiple-choice questions on a predoctoral pediatric dentistry examination. This study evaluated the impact of question type and GenAI t...
Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES
Mar 1, 2025
BACKGROUND: Artificial intelligence has been shown to achieve successful outcomes in various orthopedic qualification examinations worldwide. This study aims to assess the performance of ChatGPT in the written section of the Turkish Orthopedics and T...
Journal of evaluation in clinical practice
Feb 1, 2025
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resusc...
Journal of orthopaedic surgery (Hong Kong)
Jan 1, 2025
BACKGROUND: Large language models (LLMs) have many clinical applications. However, the comparative performance of different LLMs on orthopedic board style questions remains largely unknown.