Medical Education

Performance of Large Language Models on Radiology Residency In-Training Examination Questions.

RATIONALE AND OBJECTIVES: Large language models (LLMs) are increasingly investigated in radiology ed...

Adaptive mix for semi-supervised medical image segmentation.

Mix-up is a key technique for consistency regularization-based semi-supervised learning methods, ble...

LLM-based pedagogical agent for ICU simulation instructor training: A quasi-experimental study.

BACKGROUND: Intensive Care Unit (ICU) nursing is demanding, requiring advanced clinical decision-mak...

Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.

The intrinsic dynamics and event-driven nature of spiking neural networks (SNNs) make them excel in ...

Optimizing Clinical Education Through a Regional Coordinating Center: Lessons Learned From a State-Wide Initiative.

The shortage of clinical training sites and preceptors has become a major barrier in the development...

Rapid whole-brain T2* and susceptibility mapping using 3D multiple overlapping-echo detachment acquisition and missing modality synthesis embedded simulation.

PURPOSE: To develop a 3D multiple overlapping-echo detachment (3D-MOLED) imaging technique, along wi...

Artificial intelligence-driven patient history and symptoms combined with slit-lamp eye simulation for enhancing the clinical training of students.

CLINICAL RELEVANCE: Communication between eye care practitioners is essential to optimise health car...

Student Perceptions of a Custom Artificial Intelligence Clinical Case Companion.

INTRODUCTION: Artificial intelligence tools show promise in supplementing traditional physician assi...

Dynamics and lipid membrane coupling of the RAS-RAF complex revealed via multiscale simulations.

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we deve...

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

This article applies the multicultural orientation framework (D. E. Davis et al., 2018) to enhance r...

Artificial Intelligence in Microsurgical Education: A Systematic Review of Its Role in Training Surgeons.

BACKGROUND: Microsurgery is associated with a steep learning curve that requires extensive training ...

Predictive Modeling of Comorbid Depression and Anxiety Symptoms Among Prospective University Students: A GIS-Based and Machine Learning Study.

Prospective university students are highly susceptible to mental health issues such as depression an...

Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.

Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their...

[Artificial Intelligence in Portugal's National Medical Residency Exam: A Psychiatric Perspective].

AI Revolution in Radiology, Radiation Oncology and Nuclear Medicine: Transforming and Innovating the Radiological Sciences.

The integration of artificial intelligence (AI) into clinical practice, particularly within radiolog...

Investigating the Potential of Generative AI Clinical Case-Based Simulations on Radiography Education: A Pilot Study.

Education for medical imaging technologists or radiographers in regional and rural areas often faces...

Medical simulation: an essential tool for training, diagnosis, and treatment in the 21st century.

BACKGROUND: Medical simulation is a global trend that improves disease interpretation, diagnostic sk...

Artificial intelligence and regional anesthesiology education curriculum development: navigating the digital noise.

Artificial intelligence (AI) has demonstrated a disruptive ability to enhance and transform clinical...

Explainable artificial intelligence for predicting medical students' performance in comprehensive assessments.

Comprehensive medical assessments are critical for evaluating clinical proficiency in medical educat...

Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

The dermatology residency match has become increasingly competitive, culminating in a 2025 United St...

optiGAN: a deep learning-based alternative to optical photon tracking in Python-based GATE (10+).

To accelerate optical photon transport simulations in the GATE medical physics framework using a gen...