Artificial Intelligence Medical Compendium

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

Showing 53,331 to 53,340 of 225,548 articles

Assessment of cognitive load through photoplethysmography and bioimpedance responses during mental arithmetic tasks.

Scientific reports Feb 5, 2026
Accurate assessment of cognitive load is vital in cognitive research and human-machine interaction. This study investigates a multimodal approach for classifying graded cognitive load levels using cardiovascular signals derived from photoplethysmogra... read more 

High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change.

Scientific reports Feb 5, 2026
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Verifying Urdu news authenticity using deep learning with concatenated BERT and GloVe embedding.

Scientific reports Feb 5, 2026
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A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy.

Scientific reports Feb 5, 2026
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Revolutionizing hyper spectral image denoising: a squeezenet paradigm.

Scientific reports Feb 5, 2026
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A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration.

Scientific reports Feb 5, 2026
This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artificial intelligence (AI)-based predictive analytics on hours free of clinical deterioration events among medical and surgical patients in an acute care ... read more 

A generalizable foundation model for analysis of human brain MRI.

Nature neuroscience Feb 5, 2026
Artificial intelligence applied to brain magnetic resonance imaging (MRI) holds potential to advance diagnosis, prognosis and treatment planning for neurological diseases. The field has been constrained, thus far, by limited training data and task-sp... read more 

Semi-supervised multi-class pneumonia classification using a CNN-cascade forest framework.

Scientific reports Feb 5, 2026
Medical imaging diagnosis of pneumonia must be accurate at distinguishing between the various disease subtypes but must be resistant to sparse annotated evidence as well as cross-imaging variability. The current deep learning methods are mostly univa... read more 

Scaling medical device regulatory science using large language models.

NPJ digital medicine Feb 5, 2026
Advances in artificial intelligence (AI) and machine learning (ML) have led to a surge in AI/ML-enabled medical devices, posing new challenges for regulators because best practices for developing, testing, and monitoring these devices are still emerg... read more 

Plasmonic artificial inspector for herbal medicines via surface-enhanced Raman spectroscopy and deep learning.

Scientific reports Feb 5, 2026
For the safety monitoring of herbal medicines (HMs), HM inspectors carry out an organoleptic examination before acceptance for market supply. The organoleptic test processes are often regarded as labor-intensive, thus calling for efficient and reliab... read more 
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