Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 20,561 to 20,570 of 216,088 articles

Assessment of Alphafold Protein Models for Small-Molecule Ligand Docking versus Co-Folding.

Journal of chemical information and modeling May 11, 2026
Molecular docking is a powerful computational tool for predicting protein-ligand interactions, widely employed in drug discovery. However, its effectiveness is often constrained by the availability of experimentally determined, high-resolution protei... read more 

"Chatting" about DISE: Can Machine Learning Tools Assist Decision Making for Obstructive Sleep Apnea?

Sleep May 11, 2026
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Integrating Machine Learning with Musculoskeletal Simulation Improves OpenCap Video-Based Dynamics Estimation.

IEEE transactions on bio-medical engineering May 11, 2026
OBJECTIVE: Musculoskeletal dynamics influence the progression and rehabilitation of movement-related conditions. However, estimating whole-body dynamics using accessible tools, like smartphone video, remains challenging. Physics-based and machine lea... read more 

Classifying ADHD Presentations Using Temporally Segmented Behavioral Data from a Serious Game.

IEEE journal of biomedical and health informatics May 11, 2026
Distinguishing attention deficit/hyperactivity disorder (ADHD) presentations, such as predominantly inattentive (ADHD-I) and hyperactive/impulsive (ADHD-HI), is clinically important for management. However, traditional ADHD assessments often rely on ... read more 

A Multicenter Standardized Gait Database from the ORITEL Network for Cerebral Palsy Gait Analysis.

IEEE journal of biomedical and health informatics May 11, 2026
Gait analysis is a cornerstone of clinical decision-making in cerebral palsy (CP), yet multicenter variability limits comparability and translation. This work reports the creation of a standardized, multicenter gait database and a machine learning (M... read more 

Stacking Deep Neural Networks to Detect Multiple Types of Cardiac Arrhythmias.

IEEE journal of biomedical and health informatics May 11, 2026
Heart arrhythmias are associated with serious cardiovascular diseases and can result in fatal outcomes if not diagnosed early. Electrocardiograms (ECG) are generally used to diagnose heart arrhythmias. Prior studies employ deep learning architectures... read more 

Dual-Domain Multipath Self-Supervised Diffusion Model for Accelerated MRI Reconstruction.

IEEE transactions on neural networks and learning systems May 11, 2026
Magnetic resonance imaging (MRI) is a vital diagnostic tool, but its inherently long acquisition times reduce clinical efficiency and patient comfort. Recent advancements in deep learning, particularly diffusion models, have improved accelerated MRI ... read more 

FSAPF: A De-Scattering Framework With Stepwise Adjustment of Polarization Features.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 11, 2026
Deep learning has made significant advancements in polarization imaging through scattering media. However, there remains a deficiency in effective analysis and control of the abundant information embedded in polarization images during training. There... read more 

Breast Cancer Biomarker Discovery Using an Enhanced Quantum-Based Avian Navigation Optimizer and Ensemble Learning Model.

IEEE transactions on computational biology and bioinformatics May 11, 2026
Breast cancer remains a global health challenge, and early detection is crucial for improving survival rates. However, traditional biomarker detection methods in machine learning face challenges such as high false positives, large gene datasets, and ... read more 

Forecasting Dropout in Home-Based Movement Rehabilitation after Stroke with Sensors and Machine Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 11, 2026
Adherence to home-based rehabilitation can support recovery after stroke, yet many patients disengage within the first few weeks. While prior studies have examined perseverance in small samples or under supervised settings, little is known about earl... read more 
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