Artificial Intelligence Medical Compendium

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

Showing 391 to 400 of 213,137 articles

Hybrid AI-Geo-informatics framework for river course change prediction and disaster risk mitigation.

Scientific reports Jul 21, 2026
Rivers are dynamic geomorphological systems that frequently alter their courses due to erosion, sediment deposition, channel migration, and flooding. Although such changes are normal, a sudden and major change like the diversion of the Kosi River in ... read more 

Hybrid circular-square complementary split-ring resonator sensor for monitoring abnormal blood protein levels for disease diagnosis.

Scientific reports Jul 21, 2026
The proposed work aims to develop a compact, low-cost, and commercially viable microwave sensor for early monitoring of high protein content in blood, which can act as a biomarker for highly fatal diseases like Cancer, Rheumatoid Arthritis, and human... read more 

Hybrid quantum-classical neural networks for low earth orbit satellite communications in 6G.

Scientific reports Jul 21, 2026
Low Earth Orbit (LEO) satellite communications are pivotal for next-generation 6G wireless systems but suffer from severe channel impairments, including large Doppler shifts and time-varying Shadowed-Rician fading. These dynamic conditions, coupled w... read more 

A lesson from the past and the future of artificial intelligence in medical decision-making.

Journal of perinatology : official journal of the California Perinatal Association Jul 21, 2026
Physicians now often face clinical decision-making with vast amounts of various data, readily at hand and requiring integration and interpretation. The need to make decisions in the best interest of patients in a timely manner is especially acute in ... read more 

Rapid and energy-efficient ultra-large library screening for drug discovery on a SpiNNaker2 neuromorphic chip.

Communications chemistry Jul 21, 2026
The virtual screening of make-on-demand small molecule libraries can prioritize drug candidates for rapid experimental validation to accelerate pre-clinical drug discovery. As ultra-large libraries grow to billions of compounds, exhaustive screening ... read more 

Integrating multi-proxy geochemistry and machine learning to decode cretaceous palaeoenvironments and tectonic evolution in the Nigerian Middle Benue Trough, West Africa.

Scientific reports Jul 21, 2026
The Middle Benue Trough, a key segment of the West African Rift, preserves a complex Cretaceous stratigraphy important for understanding basin evolution and hydrocarbon potential. We integrate sedimentological (foraminifera, palynofacies, clay minera... read more 

Benchmarking deep learning pipelines for surgical instrument segmentation in endoscopic spine surgery: cross-dataset evaluation under deployment-realistic conditions.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jul 21, 2026
PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in endoscopic spine surgery. Deployment-realistic comparisons of foundation-model and conventional deep learning architectures - accounting for the detecto... read more 

Synthetic MRI pretraining for medical imaging classification.

Scientific reports Jul 21, 2026
Deep learning (DL) models have reached remarkable achievements in medical imaging, but their performance heavily depends on the availability of large and diverse datasets. To overcome this limitation, transfer learning has emerged as a widely adopted... read more 

Does China's latest AI model finally equal US rivals? What scientists think.

Nature Jul 21, 2026
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Measuring complex constructs in large-scale text with computational social mixed methods.

Behavior research methods Jul 21, 2026
A growing convergence between social science and machine learning enables, in principle, large-scale analyses of complex social phenomena through text. Yet, approaches leveraging supervised text classification based on human-annotated data for statis... read more 
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