Artificial Intelligence Medical Compendium

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

Showing 42,381 to 42,390 of 223,853 articles

Predictive modeling for early diagnosis of dementia using sequential data analysis and data mining.

Scientific reports Mar 12, 2026
Dementia, a progressively debilitating neurodegenerative disorder, poses a growing challenge to global healthcare due to its subtle early onset and lack of accurate temporal diagnostic models. Traditional machine learning (ML) approaches for dementia... read more 

Machine learning-based Bayesian optimization of tuned inerter dampers for enhanced seismic response control in high-rise base-isolated structures.

Scientific reports Mar 12, 2026
A Bayesian optimization-based design framework for Tuned Inerter Dampers (TIDs) is presented in this paper. The TIDs are used to high-rise base-isolated buildings that are subjected to ground motions that are far-fault, near-fault non-pulse, and near... read more 

Sleep awake detection from leg-worn wearables using deep sensor fusion.

Scientific reports Mar 12, 2026
Restful sleep is essential for health, yet many children with Attention Deficit Hyperactivity Disorder (ADHD) experience disturbances such as delayed sleep onset, shorter total sleep time, frequent awakenings, and daytime fatigue. Accurate detection ... read more 

Quantum-Inspired Adaptive Meta-Heuristic-Machine Learning framework for resilient and energy-efficient task scheduling in multi-cloud ecosystems.

Scientific reports Mar 12, 2026
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Machine-learning prediction and risk stratification of 12-month cognitive decline in Alzheimer's disease using routine clinical and MRI data.

Scientific reports Mar 12, 2026
Early identification of patients with Alzheimer's disease (AD) who will experience near-term cognitive decline can support trial enrichment and risk-stratified follow-up. Using the Alzheimer's Disease Neuroimaging Initiative (ADNI), we developed two ... read more 

MSCMF-DTB: a multi-scale cross-modal fusion framework for drug-target binding prediction.

Scientific reports Mar 12, 2026
Predicting drug-target binding remains a central challenge in computational drug discovery, particularly due to the need for models that jointly capture molecular topology, chemical substructures, and protein sequence dependencies. We propose MSCMF-D... read more 

Continuous assessment of daily-living gait using self-supervised learning of wrist-worn accelerometer data.

NPJ digital medicine Mar 12, 2026
Physical activity and mobility are critical for healthy aging and predict diverse health outcomes. While wrist-worn accelerometers are widely used to monitor physical activity, estimating gait metrics from wrist data remains challenging. We extend El... read more 

SCB-YOLO: a lightweight adaptive attention-enhanced network for student behavior detection in complex classroom settings.

Scientific reports Mar 12, 2026
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Letter to the Editor: A deep learning framework to stratify Nottingham histologic grade 2 breast tumors based on dynamic contrast-enhanced MRI.

European radiology Mar 12, 2026
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A generalizable eye disease detection method based on Zero-Shot Learning.

Communications medicine Mar 12, 2026
BACKGROUND: Deep learning faces a significant bottleneck in medical image analysis due to its reliance on large-scale, expert-annotated datasets. This challenge is acute in ophthalmology, particularly for detecting early-stage diseases like mild Diab... read more 
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