Artificial Intelligence Medical Compendium

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

Showing 54,011 to 54,020 of 225,930 articles

Medicare advantage becoming a disadvantage with use of artificial intelligence in prior authorization review.

NPJ digital medicine Feb 4, 2026
Reported instances of AI-assisted, blanket denials of coverage have increased in recent years, particularly for Medicare Advantage plans, resulting in insurers facing criticism, class action lawsuits, investigations from Congress, and key providers l... read more 

Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy.

Scientific reports Feb 4, 2026
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Evaluation of large Language model performance on Persian rheumatology board exams: accuracy and clinical reasoning of GPT-4o vs. GPT-5.1.

Scientific reports Feb 4, 2026
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Multi-scale entropy analysis of acoustic emission for gearbox fault severity classification.

Scientific reports Feb 4, 2026
Acoustic emission (AE) sensors offer significant potential for early fault detection in rotating machinery through the monitoring of high-frequency transients. However, extracting effective features from complex AE signals remains challenging for aut... read more 

Validation of socialbit as a smartwatch algorithm for social interaction detection in a clinical population.

Scientific reports Feb 4, 2026
Social interaction supports brain health and recovery after neurological injury. Yet no validated tool exists for real-time measurement in individuals with and without neurological deficits. We developed SocialBit, a lightweight, privacy-preserving m... read more 

Deep neural network-based analysis of voice biomarkers for monitoring treatment response in adolescent major depressive disorder.

Communications medicine Feb 4, 2026
BACKGROUND: In adolescents, identifying objective biomarkers for treatment response is crucial for the development of effective interventions. Voice-based biomarkers have recently shown potential to capture treatment-related changes in Major Depressi... read more 

Utilizing optical coherence tomography and machine learning to identify vision abnormalities in pediatric neurofibromatosis type 1 patients.

Scientific reports Feb 4, 2026
Neurofibromatosis type 1 (NF-1) is a genetic disorder associated with a high risk of vision loss in children. Optical coherence tomography (OCT) provides non-invasive, high-resolution imaging of retinal and optic nerve structures, yet translating the... read more 

Interpretable machine-learning risk prediction of unplanned extubation among cancer patients with peripherally inserted central catheters.

Scientific reports Feb 4, 2026
Unplanned extubation of peripherally inserted central catheters (PICC-UE) in patients with cancer has been linked to factors including women, diabetes, thrombosis history, valved catheter, double-lumen catheter, and self-management. However, the effe... read more 

Feature importance guided autoencoder for dimensionality reduction in intrusion detection systems.

Scientific reports Feb 4, 2026
Intrusion detection systems (IDS) play a vital role in protecting computer networks from malicious activities. Dimensionality reduction techniques are commonly employed to enhance the effectiveness and accuracy of machine learning based IDS. In this ... read more 

Efficient target detection method based on wavelet transform and progressive feature pyramid network: a case study of power grid inspection.

Scientific reports Feb 4, 2026
In contemporary society, electricity is a critical resource integral to national economies and public welfare, making the safe and stable operation of high-voltage transmission lines paramount. These lines are susceptible to various hazards, includin... read more 
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