Medical Education

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 ...

Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A Survey-Based Configurational Analysis.

AIMS: The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial...

High-precision wavefield simulation and deep learning-based sound speed reconstruction for transcranial ultrasound imaging.

Transcranial ultrasound imaging plays an important role in the diagnosis of brain diseases and the m...

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...

Nurses' Perspectives on AI in Clinical Practice: Implications for Training and Workforce Development.

This study explored nurses' perspectives on the adoption and utilization of artificial intelligence ...

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...

Accurate Free Energy Calculation via Multiscale Simulations Driven by Hybrid Machine Learning and Molecular Mechanics Potentials.

This work develops a hybrid machine learning/molecular mechanics (ML/MM) interface integrated into t...

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...