Artificial Intelligence Medical Compendium

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

Showing 16,741 to 16,750 of 213,633 articles

A Multimodal Learning Framework for Detecting Systemic Hypertension in Sleep Apnea Patients Using ECG and PPG Signals.

IEEE journal of biomedical and health informatics May 19, 2026
Systemic hypertension (HTN) is a major cardiovascular comorbidity in patients with obstructive sleep apnea (OSA), yet these conditions are often diagnosed and managed independently, limiting integrated cardiovascular risk assessment. There is a signi... read more 

AI-Driven Prediction of Cancer Pain Episodes: A Hybrid Decision Support Approach.

IEEE journal of biomedical and health informatics May 19, 2026
Lung cancer patients frequently experience breakthrough pain episodes, with up to 91% requiring timely intervention. To enable proactive pain management, we propose a hybrid machine learning and large language model pipeline that predicts pain episod... read more 

Accurate Protein Submitochondrial Localization Using Pre-Training and Adaptive Sampling Enhanced Deep Learning Model.

IEEE journal of biomedical and health informatics May 19, 2026
Mitochondria consist of four primary submitochondrial compartments: the matrix, outer membrane, inner membrane, and intermembrane space. However, current research has generated relatively limited experimental data on the intermembrane space, which co... read more 

A Spatiotemporal Physics-Motivated State-Space Model of Lake Temperature Profiles.

Environmental science & technology May 19, 2026
The physical structure of lakes, particularly vertical temperature stratification, governs the dissolved oxygen distribution and underpins freshwater ecosystem health. Accurately predicting temperature profiles is therefore essential for understandin... read more 

Heterogeneous biological graph convolutional network for drug-target interaction prediction.

PloS one May 19, 2026
Drug-target interaction prediction plays a critical role in drug discovery by identifying potential therapeutic targets and elucidating underlying molecular mechanisms. However, existing computational methods generally rely on limited biological moda... read more 

Real-time prediction of cardiorespiratory deterioration during paediatric critical care transport using interpretable machine learning.

PLOS digital health May 19, 2026
Interhospital transport of critically ill children carries inherent risks, including unexpected respiratory and cardiovascular deterioration. Early warning of impending patient deterioration may allow physicians to intervene and prevent further decli... read more 

Artificial intelligence in antimicrobial drug discovery: predictive and generative strategies.

Expert opinion on drug discovery May 19, 2026
INTRODUCTION: The slow pipeline of antimicrobial drug development stands in stark contrast to the continued expansion of microbial infections, which pose a persistent and major threat to global public health. Traditional discovery strategies, includi... read more 

Optimizing bike-sharing station locations: A machine learning and artificial neural networks approach using geospatial and demographic data.

PloS one May 19, 2026
In the modern world, public transportation amenities are noticeably on the rise, with urban bike-sharing systems becoming well-established in many major cities. However, not all cities have these systems, and planning optimal locations for bike-shari... read more 

Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal.

PloS one May 19, 2026
Needle electromyography (nEMG) is a valuable tool for diagnosing patients with neuromuscular diseases. However, it is labor-intensive and is prone to diagnostic inaccuracies stemming from human biases. To address these challenges, we validated an nEM... read more 

Gravity compensation for leachate grid cleaning robots in waste-to-energy plants: A modeling and simulation study.

PloS one May 19, 2026
Leachate grid clogging in waste-to-energy plants severely reduces combustion efficiency by up to 42% and may cause unplanned shutdowns, leading to substantial economic losses, necessitating automated cleaning solutions. However, gravity-induced elast... read more 
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