Medical Education

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 (AI) in clinical practice within a large university-affiliated health system in the southeastern United States. Through a survey enriched by open-ended questions, we captured the unique concerns and suggestions of nursing professionals regarding the deployment of AI technologies in a range of clinic...

Student Perceptions of a Custom Artificial Intelligence Clinical Case Companion.

INTRODUCTION: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinical reasoning skills. However, limited research exists on custom Generative Pretrained Transformer (GPT) applications in physician assistant (PA) education. This study evaluated student experiences and perceptions of a custom GPT-based clinical reason...

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 developed and used a combination of multiscale simulat...

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 religious/spiritual competencies. The skills gap in...

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 through supervised surgeries, cadaver practice, an...

Getting by with a little help from avatar friends: Use of AI-powered avatars to implement feedback training for faculty.

Delivering feedback is a critical skill that remains widely underdeveloped among medical educators. Faculty development in this area has traditionally...

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 and anxiety. This study investigates the prevalence ...

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 performance in basic medical sciences remains inc...

Incorporating AI-Driven Vision Systems to Quantify Learning Curve in EVD Placement.

OBJECTIVES: There is an application for artificial intelligence (AI) to augment medical education. The aim of this study was to incorporate AI-powered...

[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 radiology, nuclear medicine and radiation oncology, is tra...

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 significant challenges due to limited financial, ...

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 skills, and clinical abilities, transforming them in...

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 the AMBER molecular simulation package. The resulti...

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 medicine. While the dexterous nature of anesthesi...

Educational Applications of ChatGPT in University-Based Dental Education. A Systematic Review.

BACKGROUND: The emergence of ChatGPT has sparked growing interest in its application within university-based dental education. As a conversational lar...

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

Comprehensive medical assessments are critical for evaluating clinical proficiency in medical education; however, these administrations impose signifi...

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 States senior MD match rate of 63 % according to the...

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 generative adversarial network (GAN), while ensuring ...

A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem.

An Accreditation and equivalency certificate Verification System is required to ensure integrity, trust, and recognition of qualifications within the ...