Artificial Intelligence Medical Compendium

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

Showing 34,401 to 34,410 of 221,633 articles

AI-Assisted Rapid Quality Analysis in Implementation Science: Methodological Study.

JMIR AI Apr 6, 2026
BACKGROUND: Translating evidence-based therapies from "bench to bedside" remains challenging, and implementation science (IS) experts are crucial for this process. Qualitative analyses are essential, but require extensive time and cost for manual cod... read more 

Understanding bias in older drivers' self-reported driving styles using naturalistic driving data.

Traffic injury prevention Apr 6, 2026
OBJECTIVE: Accurate self-assessment of driving performance is critical for maintaining safety and mobility among older adults. However, many older drivers exhibit discrepancies between perceived and actual driving performance, which may lead either t... read more 

Trustworthy Deep Learning-Assisted Visualization and Analysis for Distribution-Based Ensemble Scientific Data Summarization.

IEEE transactions on visualization and computer graphics Apr 6, 2026
To study complex real-world phenomena using computer simulations, scientists often rely on ensemble datasets generated from multiple simulation runs with varying parameter configurations. This process can produce ensemble datasets with many members, ... read more 

Organ-Aware Cross-Modality Registration Enables Attenuation Correction Without Repeated CT in Multi-Scan Total-Body PET/CT Imaging.

IEEE journal of biomedical and health informatics Apr 6, 2026
Multi-Scan Total-Body PET/CT imaging, including dual-time-point and multi-tracer protocols, provides valuable metabolic information for enhanced disease diagnosis. However, the necessity for repeated CT scans due to patient repositioning for attenuat... read more 

Head-and-Neck Organs Segmentation in CT Based on Spatial Prior and Shape Description.

IEEE journal of biomedical and health informatics Apr 6, 2026
Accurate delineation of organs at risk (OARs) is critical for effective radiotherapy in head and neck cancer, and different deep learning methods have been proposed for this task. Although these methods can effectively segment large organs, they all ... read more 

Deep Learning-based Segmentation for Assessment of Kidney Tumour Ablation Therapy in CT Images.

IEEE journal of biomedical and health informatics Apr 6, 2026
Kidney tumor ablation is a minimally invasive treatment for Renal Cell Carcinoma (RCC). Manual segmentation of the kidney ablation zone (KAZ) is time-consuming, skill-dependent, and variable, making accurate assessment of treatment efficacy challengi... read more 

Two Phase Multi-Task Learning for Cybersickness Prediction and Adaptive Reduction.

IEEE transactions on visualization and computer graphics Apr 6, 2026
Cybersickness, a motion sickness like discomfort, is a major barrier to the usability of virtual reality (VR) systems. While prior work has focused mainly on predicting cybersickness severity, practical mitigation requires not only detecting how sick... read more 

CTFear: a Fear Emotion Intensity Classification Method Based on EEGand Real-Time Labeling in Virtual Environment.

IEEE transactions on visualization and computer graphics Apr 6, 2026
Fear plays a crucial role in human behavior and psychological responses. However, accurately quantifying its intensity remains challenging. To address this, we proposed a labeling paradigm in virtual environments: while watching immersive VR videos, ... read more 

Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

IEEE transactions on bio-medical engineering Apr 6, 2026
OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising incisionless procedure for breast cancer treatment. for assessing treatment efficacy. Current approaches rely on thermal and vascular MRI-derived biomarke... read more 

Anatomy-Guided Self-Supervised Distillation Learning for Medical Image Analysis.

IEEE transactions on medical imaging Apr 6, 2026
3D medical imaging modalities, including CT and MRI, provide high-resolution views essential for precision medicine. However, the increasing volume and complexity of 3D medical images challenge manual analysis, particularly in classification and segm... read more 
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