Artificial Intelligence Medical Compendium

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

Showing 37,501 to 37,510 of 223,469 articles

Editorial Note: Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models.

PloS one Mar 30, 2026
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Correction: An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes.

PloS one Mar 30, 2026
[This corrects the article DOI: 10.1371/journal.pone.0294368.]. read more 

Vascular age estimation using a consumer wearable sleep tracker.

PLOS digital health Mar 30, 2026
Vascular aging is traditionally assessed using a combination of clinical markers, blood pressure and arterial stiffness measurement. However, measuring vascular aging with reference equipment is costly and not scalable. Nocturnal photoplethysmography... read more 

Unraveling the toxicological impact of Bisphenol A exposure on dermatomyositis: An integration of network toxicology and machine learning approaches.

PloS one Mar 30, 2026
BACKGROUND: Dermatomyositis is a common immune-mediated skin disorder whose pathogenesis has not been fully elucidated. Environmental factors play a key role in its onset and progression. Bisphenol A (BPA) is a widespread environmental pollutant know... read more 

When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content.

PloS one Mar 30, 2026
Generative artificial intelligence (GenAI) blurs the boundaries between expert and non-expert sources, as it increasingly distributes and creates scientific content. This study examines how individuals adapt evaluation strategies, including content a... read more 

From reductionism to complex systems: Paradigm shift and knowledge evolution in competitive sports research using BERTopic.

PloS one Mar 30, 2026
BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co-occurrence struggle to accurately capture the field's deep semantic structure and evolutionary dyna... read more 

A Framework for Database Search with AI Models in Mass Spectrometry-Based Proteomics.

Journal of proteome research Mar 30, 2026
Database search remains the primary strategy for peptide detection in mass spectrometry-based proteomics, but growing data sets and increasingly expansive peptide search spaces now challenge its computational limits. At the same time, machine learnin... read more 

Adaptive traffic signal control using deep reinforcement learning: Toward smarter and safer urban mobility.

PloS one Mar 30, 2026
In today's rapidly evolving Intelligent Transportation Systems (ITS), traditional systems for controlling traffic signals are often inadequate in optimizing real-time traffic flow due to their dependency on preset schedules and lack of adaptability t... read more 

Advanced machine learning approaches for predicting neglected tropical disease co-endemicity in Kenya: A focus on soil-transmitted helminths, schistosomiasis, and lymphatic filariasis.

PLoS neglected tropical diseases Mar 30, 2026
BACKGROUND: Neglected Tropical Diseases (NTDs) affect 1.5 billion people worldwide with 39% of the global burden occurring in Africa. In Kenya, NTDs remain endemic despite control efforts, with co-endemicity of soil-transmitted helminths (STH), schis... read more 

Vibration-based bearing fault diagnosis in noisy conditions using matrix pencil mean frequency and multilayer perceptron neural networks.

PloS one Mar 30, 2026
Bearings are critical elements in rotating machinery, where failures often accelerated by noise interference can cause severe economic and safety consequences. Reliable fault detection in noisy environments remains a major challenge. This paper propo... read more 
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