Medical Education

Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process.

Numerical simulation is the most commonly used method to predict the power generation capacity of EG...

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...

Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force.

The gradual research in integrating artificial intelligence in the Dielectrophoresis system is rapid...

Integrating computational neuroscience into Africa's academic curriculum: Challenges, opportunities, and strategic implementation.

Computational Neuroscience (CN) is an interdisciplinary field that combines neuroscience, mathematic...

Discovery of SARS-CoV-2 papain-like protease inhibitors through machine learning and molecular simulation approaches.

The papain-like protease (PLpro), a cysteine protease found in severe acute respiratory syndrome cor...

Game-based learning in orthopaedics: A comprehensive review.

Game-based learning (GBL) has emerged as a transformative approach in medical education. It has a us...

Transforming Dental Education: Artificial Intelligence Simulation to Bridge Patient-Provider Communication Gaps.

Bytes versus brains: A comparative study of AI-generated feedback and human tutor feedback in medical education.

INTRODUCTION: Timely, high-quality feedback is vital in medical education but increasingly difficult...

Molecular dynamics-driven drug discovery.

Molecular dynamics (MD) simulation is an important tool and has a wide range of applications in many...

Optimization of nitrogen removal through an intelligent automated operational strategy based on real-time process simulation in an A2O membrane bioreactor.

In this study, an intelligent automated operational strategy (IAOS) was developed and evaluated to e...

Exploring the potential of artificial intelligence in individualized cognitive training: A systematic review.

To tackle the challenge of responders heterogeneity, Cognitive Training (CT) research currently leve...

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network.

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where ...

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilit...

Medical digital twins: enabling precision medicine and medical artificial intelligence.

The notion of medical digital twins is gaining popularity both within the scientific community and a...

LLM-Generated Multiple Choice Practice Quizzes for Pre-Clinical Medical Students; Prevalence of Item Writing Flaws.

Multiple choice questions (MCQs) are frequently used in medical education for assessment. Automated ...

Students' performance dataset for using machine learning technique in physics education research.

There is a need to help advance research on using machine learning and data mining techniques in phy...

Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy.

Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and lab...

Simulation-free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study.

PURPOSE: Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that ...

Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation.

This study introduces an advanced computational model for simulating surface electromyography (sEMG)...

Generative AI for predictive breeding: hopes and caveats.

Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a rev...

Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.

BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outco...