Medical Education

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods.

BACKGROUND: Data linkage in pharmacoepidemiological research is commonly employed to ascertain exposures and outcomes or to obtain additional information on confounding variables. However, to protect patient confidentiality, unique patient identifiers are not provided, which makes data linkage across multiple sources challenging. The Saudi Real-World Evidence Network (SRWEN) aggregates electronic ...

Integrating AI-facilitated interviews to enhance CV writing.

BACKGROUND: Faculty face challenges integrating professional development, such as curriculum vitae (CV) preparation, into curricula. For instance, adequate time and personnel may not be available for training and feedback. Faculty designed an artificial intelligence (AI)-facilitated activity to engage more students to update their CV and reflect on their community introductory pharmacy practice ex...

Pilot clinical evaluation of artificial intelligence-driven guiding catheter simulation for optimizing percutaneous coronary intervention.

AIMS: In percutaneous coronary intervention (PCI), a suboptimal choice of guiding catheter may compromise coaxial alignment and backup support, prolon...

Development and Validation of a Machine Learning Tool for Plastic Surgery Residency Application Screening.

BACKGROUND: Applications to integrated plastic surgery residency programs have outpaced the growth of available positions. As a result, faculty must r...

Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection.

Artificial Intelligence (AI) is reshaping medical education, particularly in the domain of competency-based assessment, where current methods remain s...

Towards scalable psychological first aid training: an autoethnographic exploration of the potential of large language models in simulation-based learning.

Background: Psychological First Aid (PFA) is a widely used approach to provide psychosocial support to individuals in the aftermath of a stressful eve...

Integrating AI Scribes into Medical Education: Guardrails for Preserving Clinical Reasoning.

Clinical documentation is a cornerstone of physician training, not only as a record of care but as a catalyst for clinical reasoning. For medical trai...

Transforming clinical toxicology in Singapore: four decades of progress and beyond.

By examining key milestones, challenges and future directions, this review chronicles the evolution of clinical toxicology in Singapore into a recogni...

State-of-the-art 32 cm field-of-view digital PET/CT system: preliminary study for protocols optimization and DRLs update.

The aim of this study was to assess the impact of a state-of-the-art 32 cm axial field-of-view GE Omni Legend PET/CT system on administered activity a...

Use of a Machine Learning Program for Urogynecology Fellowship Applicant Review.

IMPORTANCE: There is a gap in objective methods to review applications for advanced medical training. OBJECTIVE: The objective of this study was to ev...

Comparison between automated and manual digital diagnostic setups of orthodontic extraction cases: an in silico study.

BACKGROUND: The aim of the study was to evaluate automated digital diagnostic setup in bimaxillary dentoalveolar protrusion cases using two software p...

Rhinoplasty Education During Residency: Discussion of Current Barriers, Challenges, and Opportunities for Improvement.

BACKGROUND: Rhinoplasty is a complex operation that warrants careful consideration of both functional and aesthetic principles. Despite its prevalence...

Ethics Education in Neonatology: Integrating Theory, Multimodal Methods, and AI Innovation.

This review examines current approaches to ethics education in neonatal-perinatal medicine (NPM), integrating adult learning theory, diverse teaching ...

Evaluation of large language models as decision support tools for head and neck cancer management: A blinded multidisciplinary simulation study.

BACKGROUND: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large lang...

Large language models in Chinese anesthesiology residency examinations: a comparative analysis of performance, reliability and clinical reasoning.

Evaluating AI-Generated Geriatric Case Studies for Interprofessional Education: Systematic Analysis Across 5 Platforms.

BACKGROUND: Simulation-based learning (SBL) has become standard practice in educating health care professionals to apply their knowledge and skills in...

Veterinary workers report low knowledge of artificial intelligence but positive attitudes toward its adoption in diagnostic imaging and the workplace as a whole.

OBJECTIVE: To describe veterinary workers' knowledge, attitudes, and practices regarding AI in veterinary medicine, with an emphasis on diagnostic ima...

Education as a Tool to Navigate Changing Technology in Radiation Oncology.

While technological innovation in radiation therapy (RT) continues to accelerate, safe and equitable adoption of emerging tools is reliant on the read...

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

BACKGROUND: Effective debriefings in simulation-based education require accurate observation of team interactions, yet facilitators face challenges du...

Improving Clinical Decision-Making in Treating Airway Diseases With an Expert System Built Upon the Free AI Tool Google NotebookLM.

We used the free artificial intelligence (AI) tool Google NotebookLM, powered by the large language model Gemini 2.0, to construct a medical decision-...