Artificial Intelligence Medical Compendium

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

Showing 36,481 to 36,490 of 223,137 articles

Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Acute pancreatitis (AP) is a life-threatening disorder commonly observed in emergency departments. Patients with acute pancreatitis may necessitate transfer to the intensive care unit (ICU) if standard treatments prove ineffective. The dev... read more 

Heart Rate Variability via Poincaré Mapping as an Early Biomarker Post-Cardiac Arrest.

IEEE transactions on bio-medical engineering Apr 1, 2026
BACKGROUND: Predicting neurological outcomes following cardiac arrest remains challenging. This study introduces a two-stage approach that combines a novel feature selection optimization with machine learning classification, utilizing heart rate vari... read more 

Assistive Control of Knee Exoskeletons for Human Walking on Sandy Terrain.

IEEE transactions on bio-medical engineering Apr 1, 2026
Human walkers encounter diverse terrains such as sand and solid ground, which result in distinct gait locomotion and energy costs. This study aims to design and validate a knee stiffness-based model predictive control approach for knee exoskeletons t... read more 

Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: To achieve accurate 3-D reconstruction and quantitative analysis of human retinal vasculature from a single optical coherence tomography angiography (OCTA) scan. METHODS: We introduce Freqformer, a novel Transformer-based model featuring a... read more 

Patient-Specific Cardio-Respiratory Model for Optimization of Cardiac Radioablation.

IEEE transactions on bio-medical engineering Apr 1, 2026
Stereotactic Arrhythmia Radioablation (STAR) is a promising treatment for refractory ventricular tachycardia. However, its precision may be hampered by cardiac and respiratory motions. Multiple techniques exist to mitigate the effects of these displa... read more 

Annular Prior Prompt Learning for Medical Images Segmentation.

IEEE transactions on bio-medical engineering Apr 1, 2026
Excellent performance has been achieved on medical image segmentation. Still, existing algorithms perform relatively poorly for annular objects with high intra-class variability and inter-class similarity, which easily leads to regional confusion, es... read more 

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-Modal Data Amidst Missing Values.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Alzheimer's disease, a progressive neurodegenerative disorder, involves neural, genetic, and proteomic factors and impacts multiple cognitive and behavioral domains. Traditional AD prediction largely focuses on univariate disease outcomes,... read more 

Contrastive Learning Model for Wearable-Based Ataxia Assessment.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Frequent and objective assessment of ataxia severity is essential for tracking disease progression and evaluating the effectiveness of potential treatments. Wearable-based assessments have emerged as a promising solution. However, existing... read more 

Spherical Harmonics Representation Learning for High-Fidelity and Generalizable Super-Resolution in Diffusion MRI.

IEEE transactions on bio-medical engineering Apr 1, 2026
OBJECTIVE: Diffusion magnetic resonance imaging (dMRI) often suffers from low spatial and angular resolution due to inherent limitations in imaging hardware and system noise, adversely affecting the accurate estimation of microstructural parameters w... read more 

MUSiK: An Open Source Simulation Library for 3D Multi-View Ultrasound.

IEEE transactions on bio-medical engineering Apr 1, 2026
Diagnostic ultrasound has long filled a crucial niche in medical imaging thanks to its portability, affordability, and favorable safety profile. Now, multi-view hardware and deep-learning-based image reconstruction algorithms promise to extend this n... read more 
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