Medical Education

Defining the artificial intelligence knowledge gap in surgery: experience and perspectives from surgical resident and postgraduate.

Despite the growing prominence of Artificial Intelligence (AI) in surgical practice, surgical residents and postgraduates receive limited formal training. A cross-sectional survey of 322 surgical residents and postgraduates from three Chinese medical universities assessed their knowledge, perceptions, and experience regarding AI in surgical practice. Among respondents, 76.7% reported prior experie...

The performance of ChatGPT and other large language models on multiple-choice questions in biomedical disciplines: A meta-analysis.

While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple-choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta-analysis synthesizes LLM accuracy on text-based MCQs from biomedical disciplines and USMLE Step 1-level content and explores study characteristics that moderate LLM performance. St...

"There's not one part of the programme that hasn't been useful in my clinical practice": undergraduate nursing students' views and experiences of a Dementia Education Program.

Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...

Experiences and Perceptions of Clinical and Graduate Medical Students Regarding AI in Syria: Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) tools have revolutionized various aspects of education and health care in recent years. Their influence exten...

An Evaluation of AI Chatbots as Replacements for Specialized Software in Teaching Bayesian Pharmacokinetic Analysis.

OBJECTIVE: To investigate the accuracy and reliability of AI chatbots to estimate pharmacokinetic parameters from limited patient samples and populati...

A Review of Artificial Intelligence Across the Facial Esthetic Surgical Continuum: Education, Planning, Intraoperative Use, and Postoperative Outcomes.

Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyz...

Intelligent hybrid decision support systems for education policy and institutional performance optimization.

The rapid evolution of digital technologies has accelerated the transition toward Education 5.0, where intelligent systems support advanced learning e...

CRISP: Enhancing ASE Workflows With Advanced Molecular Simulation Post-Processing.

Molecular simulations are invaluable for analysing molecular systems, but existing post-processing tools are often limited by a lack of customization,...

A Psychometric Analysis of an AI-Assisted Tool for Assessing Learning Outcomes in Veterinary Education.

This study introduces an artificial intelligence-human-in-the-loop (AI-HITL) process to create an instrument for evaluating the quality of learning ou...

How to Enhance the Learning of Veterinary Anatomy by Drawing?

The disappearance of spontaneous student-generated drawings in examinations induced us to start developing anatomical drawing tasks that would be usef...

Investigating AI competence among Chinese secondary school teachers: Insights from the UNESCO framework.

This study adopts a quantitative research design employs the UNESCO Teacher AI Competency Framework to assess and validate the artificial intelligence...

Wireless, skin-interfaced multimodal sensing system for continuous psychophysiological monitoring-A wearable polygraph device.

Accurate, continuous monitoring of psychophysiological states is central to understanding stress and autonomic dysfunction across diverse medical cont...

Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.

BACKGROUND: This systematic review and meta-analysis aimed to evaluate and quantitatively synthesize the effectiveness of artificial intelligence (AI)...

AI-driven multimodal simulation for psychiatric clinical education: conceptual framework and preliminary validation of the cognitive core.

BACKGROUND: The global shortage of psychiatrists limits learners' exposure to authentic patient encounters. Simulation can support scalable deliberate...

What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education.

Artificial intelligence (AI) is rapidly reshaping healthcare and the competencies expected of graduating medical students, yet AI curricula and compet...

Integrating Machine Learning with Musculoskeletal Simulation Improves OpenCap Video-Based Dynamics Estimation.

OBJECTIVE: Musculoskeletal dynamics influence the progression and rehabilitation of movement-related conditions. However, estimating whole-body dynami...

Predicting depressive and anxiety symptoms among Lebanese and Syrian adults in a suburb of Beirut, Lebanon, during concurrent crises: nested cross-sectional study.

OBJECTIVE: This study aimed to develop prediction models for symptoms of poor mental health among Lebanese adults and adult Syrian refugees or migrant...

AI In the Chair: ChatGPT In Dental Education-A Cross-Sectional Study of Student Use and Perceptions in New Zealand.

AIMS: To investigate the usage, implications, and perceptions of ChatGPT among dental students and understand how students incorporate ChatGPT into th...

Are Psychiatry Faculty Prepared to Guide AI Use? A National Survey.

OBJECTIVE: To assess psychiatry faculty knowledge, use, and perceptions of artificial intelligence (AI) in undergraduate medical education (UME) and g...

AI as a differentiated cognitive partner in medical education: a comparative study of popular science versus research-based curriculum extensions in histology and embryology.

OBJECTIVE: This study compared the efficacy of Popular Science (PS) and Research-Based (RS) curriculum extensions in a Histology and Embryology course...