Medical Education

Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT.

As medical educators grapple with the consistent demand for high-quality assessments, the integratio...

Machine Learning for Predictive Analysis of Otolaryngology Residency Letters of Recommendation.

INTRODUCTION: Letters of recommendation (LORs) are a highly influential yet subjective and often eni...

Leveraging Modeling and Simulation to Enhance the Efficiency of Bioequivalence Approaches for Generic Drugs: Highlights from the 2023 Generic Drug Science and Research Initiatives Public Workshop.

The 2023 Generic Drug Science and Research Initiative Public Workshop organized by the U.S. Food and...

An Artificial Intelligence-Supported Medicinal Chemistry Project: An Example for Incorporating Artificial Intelligence Within the Pharmacy Curriculum.

OBJECTIVE: This study aims to integrate and use AI to teach core concepts in a medicinal chemistry c...

Operating under the influence: the effect of alcohol on operative performance using a virtual robotic training platform-an experimental comparative cohort study.

An elevated percentage of medical personnel reports using alcohol to relieve stress. Levels of alcoh...

The deconstructed procedural description in robotic colorectal surgery.

Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the n...

Detection of biomagnetic signals from induced pluripotent stem cell-derived cardiomyocytes using deep learning with simulation data.

The detection of spontaneous magnetic signals can be used for the non-invasive electrophysiological ...

Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.

This study aims to investigate the maximum achievable dose reduction for applying a new deep learnin...

Artificial intelligence in dermatology: GPT-3.5-Turbo demonstrates strengths and limitations in residency exams.

Brain MR image simulation for deep learning based medical image analysis networks.

BACKGROUND AND OBJECTIVE: As large sets of annotated MRI data are needed for training and validating...

Calculation of solvation force in molecular dynamics simulation by deep-learning method.

Electrostatic calculations are generally used in studying the thermodynamics and kinetics of biomole...

Evaluating the performance of the cognitive workload model with subjective endorsement in addition to EEG.

The aptitude-oriented exercises from almost all domains impose cognitive load on their operators. Ev...

Machine-Learning-Accelerated Simulations for the Design of Airbag Constrained by Obstacles at Rest.

Predicting airbag deployment geometries is an important task for airbag and vehicle designers to mee...

Design and utilisation of a novel, high-fidelity, low-cost, hybrid-tissue simulation model to facilitate training in robot-assisted partial nephrectomy.

Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriat...

Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation.

The number of robot-assisted minimally invasive surgeries is increasing annually, together with the ...

Advancing real-time error correction of flood forecasting based on the hydrologic similarity theory and machine learning techniques.

Real-time flood forecasting is one of the most pivotal measures for flood management, and real-time ...

Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges.

Aerobic composting stands as a widely-adopted method for treating organic solid waste (OSW), simulta...

Artificial Intelligence in Endodontic Education.

AIMS: The future dental and endodontic education must adapt to the current digitalized healthcare sy...

Two artificial intelligence models underperform on examinations in a veterinary curriculum.

OBJECTIVE: Advancements in artificial intelligence (AI) and large language models have rapidly gener...

Integrating network pharmacology, molecular docking and simulation approaches with machine learning reveals the multi-target pharmacological mechanism of against diabetic nephropathy.

Diabetic nephropathy (DN) is one of the most feared complications of diabetes and key cause of end-s...

AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are poised to have a substantial ...