Medical Education

Knowledge, attitudes, and practices toward artificial intelligence among health sciences students: A cross-sectional study in Palestine.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare education and clinical practice. Understanding health sciences students' knowledge, attitudes, and practices (KAP) toward AI is important for informing curriculum development, particularly in resource-limited educational settings. OBJECTIVE: To assess knowledge, attitudes, and practices toward artificial intelligen...

Artificial intelligence to support debriefing in simulation-based healthcare education: a scoping review.

BACKGROUND: Artificial intelligence is increasingly being integrated into healthcare education and simulation-based education. However, its role in supporting the debriefing phase of simulation remains underexplored and inconsistently described. This scoping review aimed to map the existing literature on the use of artificial intelligence to support debriefing in simulation-based healthcare educat...

Advancing the Science of Surgical Education: Reflections From the 2025 University of Melbourne Department of Surgery Research Showcase.

BACKGROUND: The 2025 University of Melbourne Department of Surgery Research Showcase, held on 18 November 2025, brought together surgeons, researchers...

Quercetin derivatives from Camellia sinensis for the discovery of anticancer compound against P-glycoprotein-mediated multidrug resistance: a computational approach.

Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...

Impact of AI-Generated Feedback on Dental Student Performance in Preclinical Prosthodontics Education.

PURPOSE: This study aimed to evaluate the impact of an artificial intelligence (AI)-generated formative feedback system on third-year dental students'...

Evaluating Source-Based Large Language Models for Preclinical Dermatology Education: Comparative Study.

BACKGROUND: Large language models (LLMs) have gained increasing popularity in medical education, with evidence supporting their educational value when...

AI integration into undergraduate health education streams- a multicenter study in Sri Lanka.

BACKGROUND: Despite rapid integration of AI in healthcare, formal AI education remains limited in health professional curricula globally, particularly...

Development and pilot evaluation of a large language model-based clinical simulation system for medical education in gastroenterology.

BACKGROUND: Medical education relies on experience to develop clinical reasoning skills, yet patient access is often limited. Large language models (L...

Impact of machine learning on spare parts availability for critical medical devices: a supervised machine learning perspective.

PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of fai...

Bridging the rural logistics penalty: quantifying structural costs and designing policy mechanisms for home TCM delivery to older adults with chronic respiratory diseases.

BACKGROUND: Equitable access to prescribed therapies remains challenging for older adults with chronic respiratory diseases (CRDs) in rural China. Liq...

Preclinical Dialogue Simulation: Evaluating Response Accessibility in Conversational Artificial Intelligence for Aphasia Therapy.

PURPOSE: Large language model (LLM)-driven conversational agents are increasingly considered for use in clinical contexts, yet systematic approaches f...

Candidate Passive Sensor Suite Technologies for Tactical Combat Casualty Care Environments: Comparative Assessment Study.

BACKGROUND: The United States Army Institute for Surgical Research conducted an analysis of 3 prototype sensor suites; all candidates were designed to...

Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare.

BACKGROUND: Large language models (LLMs) are rapidly entering clinical and consumer use, yet their probabilistic outputs have delivered a variety of u...

Medical students' knowledge and attitude towards using artificial intelligence in medical education and practice: a pre-post study.

BACKGROUND: This study aims to evaluate the knowledge and attitudes of Mansoura medical students towards artificial intelligence (AI) use in medical e...

A multimodal deep learning framework for precise silicosis detection on radiographic images.

Pneumoconiosis, a common occupational lung illness, arises from inhaling dust, with silicosis specifically caused by fine crystalline silica dust, lea...

Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture.

To address the dilemma of homogeneous talent training and the efficiency bottleneck of human resource management in universities, this study proposes ...

Predictors of same-day discharge following bariatric surgery using machine learning.

BACKGROUND: Same-day discharge (SDD) following bariatric surgery is becoming increasingly more common to reduce healthcare utilization. However, predi...

Reimagining Dental Education: Integrating Digital Technologies for a Global, Digitally Native Generation-A Perspective.

ABSTRACT: Digital technologies, such as artificial intelligence (AI), virtual reality (VR), and haptic simulation, are rapidly reshaping oral health e...

Construction of a faculty competency model for medical simulation education integrated with GenAI: a multi-method quantitative study based on the perspective of medical students.

BACKGROUND: The rapid advancement of Generative Artificial Intelligence (GenAI) is reshaping the landscape of medical simulation education, necessitat...

Adaptive competitive balance regulation in professional sports leagues via graph attention networks and proximal policy optimization.

Sustaining competitive balance underpins both the commercial vitality and fan engagement of professional sports leagues, yet most regulatory regimes s...