Artificial Intelligence Medical Compendium

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

Showing 2,821 to 2,830 of 168,134 articles

Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi... read more 
Humans Machine Learning Reproducibility of Results Models, Statistical Neuroimaging

Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers.

Scientific reports Aug 6, 2025
Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limited by factors such as patient cooperation with spirometry. Non-invasive acoustic analysis using machine learning offers a promising alternative for ob... read more 
Humans Machine Learning Biomarkers Female Young Adult Adult Asthma Male Middle Aged Case-Control Studies Acoustics Voice Boosting Machine Learning Algorithms

Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization.

Scientific reports Aug 6, 2025
Optimizing clinical pathways is pivotal for enhancing healthcare delivery, yet traditional methods are increasingly insufficient in the face of complex, personalized medical demands. This paper introduces an innovative optimization framework that fus... read more 
Humans Delivery of Health Care Clinical Decision-Making Deep Learning Critical Pathways

MienCap: Realtime Performance-Based Facial Animation with Live Mood Dynamics

arXiv Aug 6, 2025
Our purpose is to improve performance-based animation which can drive believable 3D stylized characters that are truly perceptual. By combining traditional blendshape animation techniques with multiple machine learning models, we present both non-r... read more 
Graphics Computer Vision and Pattern Recognition I.3.2; I.4.10

Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.

Radiology. Artificial intelligence Aug 6, 2025
Purpose To develop and validate MRSegmentator, a retrospective cross-modality deep learning model for multiorgan segmentation of MRI scans. Materials and Methods This retrospective study trained MRSegmentator on 1,200 manually annotated UK Biobank D... read more 

Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.

Translational psychiatry Aug 6, 2025
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u... read more 
Humans Prospective Studies Brain Female Adult Male Middle Aged Depressive Disorder, Major Magnetic Resonance Imaging Antidepressive Agents Nerve Net Cognitive Behavioral Therapy Default Mode Network Rumination, Cognitive

Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

Scientific reports Aug 6, 2025
This research introduces a practical and innovative approach for real-time air quality assessment and health risk prediction, focusing on urban, industrial, suburban, rural, and traffic-heavy environments. The framework integrates data from multiple ... read more 
Humans Machine Learning Risk Assessment Environmental Monitoring Air Pollutants Air Pollution Environmental Health

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

Nature communications Aug 6, 2025
Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing systems to molecular simulations. However, its usefulness is severely limite... read more 

Clinical applications of hyperspectral imaging in gastroenterology and hepatology: A systematic review.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Aug 6, 2025
BACKGROUND: Hyperspectral imaging (HSI), a high-throughput, three-dimensional technology initially developed for remote sensing, has recently garnered increasing interest in applications in gastroenterology and hepatology. We focus on the aspects of ... read more 

An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments.

Scientific reports Aug 6, 2025
The fast development of Internet of Things (IoT) tools in smart cities has presented many advantages, improving sustainability, automation, and urban efficiency. Still, these interlinked systems further pose critical cybersecurity difficulties, inclu... read more 
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