Medical Education

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study.

BACKGROUND: Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence-powered medical history-taking training and evaluation system (AMTES) and established its technical feasibility as an extracurricular resource. Evidence on whether such tools improve learning outcomes when voluntarily embedded in routine curricula ...

Comparison of large language models for clinical scenario generation in medical education: a mixed-methods study.

BACKGROUND: In undergraduate medical education, the ability to manage clinical-cases is a core competency expected of future physicians. Traditionally, this skill is developed through repeated exposure to real patient encounters in clinical settings. However, increasing patient safety concerns, limited clinical opportunities, and faculty workload constraints have made it increasingly difficult for...

Co-simulation framework combining a microscopically detailed point neuron model of the hippocampal CA1 region with the macroscopic high-resolution virtual brain model.

The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dyna...

How strategic engagement with programs drives neurosurgery match success.

OBJECTIVE: As the neurosurgery residency application process grows increasingly reliant on strategy, applicants must weigh relationship-building effor...

Let's Talk Tech: The Role of Technology in Neurology Education.

As a field, neurology can seem complicated, overwhelming, and at times ambiguous and uncertain. However, novel technological developments-including ar...

Utopian or dystopian? A mixed-methods study of nursing and midwifery students' perceptions of artificial intelligence and robot-assisted person-centred care in education.

BACKGROUND: The integration of artificial intelligence (AI) and robotic technologies into healthcare is increasing, making it important to understand ...

A longitudinal examination of clinical simulation in a postpandemic era: A national survey of prelicensure nursing programs.

BACKGROUND: Despite evidence of an uptick in clinical simulation adoption during the pandemic, there are no studies assessing the durability of nation...

[Impact of digital technology and artificial intelligence on the training of pathology residents: Benefits, limitations, and educational prospects].

New pathology residents are experiencing an unprecedented situation compared to their predecessors. These young doctors, who are highly exposed to dig...

Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation.

OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopulmonary failure, but structured training remains co...

A New Dawn: Resident Recruitment in the United States in the Post-COVID Era.

The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to an explosion in literature comparing the pros and ...

Using participatory action research to develop an artificial intelligence-augmented, peer-driven, case-based, and simulation-enhanced curriculum for emergency medicine residents.

This work describes the use of participatory action research to develop an artificial intelligence (AI)-augmented, peer-driven, case-based, and simula...

Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items.

BACKGROUND: Multiple-choice examinations (MCQs) are widely used in medical education to ensure standardized and objective assessment. Developing high-...

In Situ Evaluation of Virtual Reality Simulation Usability and Learning in Nursing.

BACKGROUND: Virtual reality is increasingly applied in nursing education to enhance student readiness for patient care. This study evaluated the effec...

From AI acceptance to self-efficacy in multilingual learning: AIAC scale development and the mediating role of learning enjoyment.

Artificial intelligence (AI) is increasingly embedded in language education, and learners' acceptance of AI, together with their multilingual learning...

Artificial Intelligence in Medical Education: Transformative Potential, Current Applications, and Future Implications.

Artificial intelligence (AI) is increasingly influencing medical education by enabling adaptive learning, AI-assisted assessment, and scalable instruc...

Artificial intelligence-based classification of Spitz tumors.

Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what exte...

Can ChatGPT Teach Tendon Repair Suturing? A Comparison With Video Instruction in a Simulation-Based Environment: A Pilot Study.

OBJECTIVE: To compare the effectiveness of ChatGPT-guided instruction versus video-based instruction for teaching the Modified Kessler tendon repair t...

Health economic simulation modeling of an AI-enabled clinical decision support system for coronary revascularization.

While artificial intelligence (AI) models have been developed to support coronary revascularization decision-making, health economic evaluation of suc...

Streamlining Accreditation Activities With Responsible Use of Artificial Intelligence.

Dental Students' Knowledge, Attitudes and Perceptions of Artificial Intelligence Tools to Aid in the Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders.

BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool in dentistry, particularly in the early detection of oral cancer (OC) and ora...