Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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AI simulation models for diagnosing disabilities in smart electrical prosthetics using bipolar fuzzy decision making based on choquet integral.

The integration of AI simulation models within smart electrical prosthetic systems represents a sign...

Human respiratory simulation based on 3D modelling - a review.

Accurate simulation of respiratory dynamics is essential for advancing the diagnosis and treatment o...

Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses.

The amygdala plays a central role in emotion, memory, and decision-making and comprises approximatel...

Artificial Intelligence-Augmented Human Instruction and Surgical Simulation Performance: A Randomized Clinical Trial.

IMPORTANCE: How the Intelligent Continuous Expertise Monitoring System, an artificial intelligence t...

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 t...

Structure-based virtual screening, molecular docking, and MD simulation studies: An in-silico approach for identifying potential MBL inhibitors.

The global rise of antibiotic-resistant infections has been driven in part by the spread of bacteria...

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference.

Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabl...

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study.

Purpose To develop and optimize a federated learning (FL) framework across multiple clients for bip...

Performing Path Integral Molecular Dynamics Using an Artificial Intelligence-Enhanced Molecular Simulation Framework.

This study employed an artificial intelligence-enhanced molecular simulation framework to enable eff...

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with his...

Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and man...

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive r...

MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction.

Plant peptide-protein interactions (PepPI) play a crucial role in plant growth, development, immune ...

Multi robot exploration using an advanced multi-objective salp swarm algorithm for efficient coverage and performance.

This work introduces the Advanced Multi-Objective Salp Swarm Algorithm Exploration Technique (AMET),...

The Evolving Role of Artificial Intelligence in Plastic Surgery Education: Insights From Program Directors and Residents.

OBJECTIVE: To assess the current state of artificial intelligence (AI) policies, educational resourc...

Artificial Intelligence (AI)-Enhanced Simulation of Facial Filler Sequencing.

Preprocedural simulation can be an important tool for patient counseling and setting patient expecta...

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. ...

Knowledge and perception of artificial lntelligence education among undergraduate healthcare students.

BACKGROUND: Artificial intelligence (AI) is gaining recognition for its ability to enhance patient o...

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