Medical Education

Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complicatio...

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...

Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study.

To create a deep neural network capable of recognizing basic surgical actions and categorizing surge...

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...

Simulation of emitter discharge along drip laterals under drip fertigation system using artificial neural network.

Simulation of emitter discharge under a drip fertigation system is important for capturing the varia...

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...

Advanced bioactuator selection for efficient human motion simulation in biohybrid robots using CSF dynamic knowledge.

The selection of the most efficient actuator for biohybrid robots necessitates the implementation of...

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...

Diagnosis of psoriasis and lichen planus in real-time using neural networks based on skin Biomechanical properties obtained from numerical simulation.

Due to their similar clinical presentations, the scarcity of competent dermatologists, and the urgen...

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 universi...

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...

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, tr...

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...

Intelligent Design and Simulation of High-Entropy Alloys via Machine Learning and Multiobjective Optimization Algorithms.

High-entropy alloys (HEAs) are innovative metallic materials with unique properties and wide potenti...

A comparative study of Iran's doctoral nursing curriculum with the American Association of Colleges of Nursing (AACN) based on the SPICES model: integrating artificial intelligence into analysis.

INTRODUCTION: Understanding the differences and similarities between the different curricula enhance...

A merged fuzzy system and neural network for improving management method and strategy in scientific research and education.

In recent years, integrating artificial intelligence into scientific management in education has tra...