Artificial Intelligence Medical Compendium

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

Showing 34,281 to 34,290 of 221,510 articles

Ambipolar Bulk Heterojunction Semiconductor Fibers for High-Performance Neuromorphic Systems.

ACS nano Apr 6, 2026
Semiconductor fibers provide a basis for advanced bioelectronic systems, enabling the integration of sensors, logic, and signal processing into flexible, wearable designs. Recent advances in p- and n-type organic semiconductor fibers have enabled the... read more 

It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

JMIR mental health Apr 6, 2026
Large language models are rapidly becoming embedded in everyday life through artificial intelligence (AI) chatbots that people use for practical assistance and companionship, as well as for support with mental health and emotional well-being. Alongsi... read more 

mHealth-Enabled Stroke Screening for Pediatric Sickle Cell Disease in Low-Resource Settings: Systematic Literature Review of Critical Barriers, Emerging Technologies, and AI-Driven Solutions.

JMIR pediatrics and parenting Apr 6, 2026
BACKGROUND: Sickle cell disease (SCD) is a genetic blood disorder affecting millions globally, with life-threatening complications, and most patients live in sub-Saharan Africa. Particularly, children with SCD have a high risk of stroke. Although ear... read more 

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 
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