Medical Education

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 how future professionals view these innovations. This study explored nursing and midwifery students' perspectives on using these technologies in care and the cognitive, ethical, and person-centred factors shaping their readiness and willingness. METH...

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 national usage trends following the health crisis. PURPOSE: A longitudinal examination of prelicensure nursing programs' didactic and clinical delivery formats before, during, and after COVID-19. METHODS: A national survey of all RN program administrators....

[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...

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...

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...

AI-assisted case builder: Making PBL more scalable and adaptable.

Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes...

Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective.

BACKGROUND: Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- ...

Integrating AI training into the oral health and community dentistry curriculum: A growing necessity.

BENMO|Simulation: A computationally efficient and biologically enhanced model for nutrient dynamics in coastal bays.

Simulating nutrient dynamics in coastal bays is challenged by the high computational cost and the oversimplification of multi-trophic organisms proces...

Energy diagram: Investigation and application of a design-thinking-driven wind environment simulation tool for sustainable architecture.

Amid climate change and resource constraints, sustainable building design increasingly requires wind-environment optimization to improve energy effici...

Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus.

BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force to evaluate the current state and future direction...

Fluid density regulation under nanoconfinement revealed by machine learning.

Fluids under nanoscale confinement differ - and often dramatically - from their bulk counterparts. A notorious feature of nanoconfined fluids is their...