Artificial Intelligence Medical Compendium

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

Showing 45,291 to 45,300 of 224,055 articles

Digital Microscopy in the Endoscopy Suite: A Reference Standard for Colorectal Polyp Size Measurement.

Digestive diseases and sciences Mar 3, 2026
BACKGROUND AND STUDY AIMS: Accurate determination of colorectal polyp size is critical for surveillance recommendations and for generating reliable ground truth in artificial intelligence (AI) development. Visual estimation is imprecise, and no valid... read more 

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis.

Nature communications Mar 3, 2026
One in 25 deaths worldwide is related to liver disease, and often with multiple hepatosplenic conditions. Yet, little is understood of the risk factors for hepatosplenic multimorbidity, especially in the context of chronic infections. We present a no... read more 

Proteomics-based machine learning model for predicting secondary infection in HBV-related liver failure.

Nature communications Mar 3, 2026
Patients with Hepatitis B Virus-related liver failure are highly vulnerable to secondary infections (SI), yet early predictive tools remain limited. In this work, we aim to develop and validate a plasma proteomics-based model for early SI risk assess... read more 

Contrast-free identification of glioma blood-brain barrier status via generative diffusion AI and non-contrast MRI.

Nature communications Mar 3, 2026
Non-contrast MRI, routinely used for the preoperative diagnosis of glioma tumors and establishing treatment strategies, provides the potential for assessing blood-brain barrier (BBB) status without using gadolinium-based contrast agents (GBCA) which ... read more 

Machine learning discovers numerous new computational principles supporting elementary motion detection.

Nature communications Mar 3, 2026
Motion direction detection is a fundamental visual computation that transforms spatial luminance patterns into directionally tuned outputs. Classical models of direction selectivity rely on temporal asymmetry, where motion detection arises through ei... read more 

Machine learning helps to strongly reduce future warming uncertainty.

Nature communications Mar 3, 2026
The observed warming of global mean surface temperature has been used to reduce uncertainty in future climate change and impact projections, but the information embedded in the spatial pattern of warming remains largely untapped. Here, we use machine... read more 

Interpretable hybrid ensemble with attention-based fusion and EAOO-GA optimization for lung cancer detection.

Scientific reports Mar 3, 2026
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Pharmacological stabilization of hypoxia-inducible factor 1-α dampens the interferon response and promotes glycolysis in Aicardi-Goutières syndrome.

Nature communications Mar 3, 2026
Aicardi-Goutières syndrome (AGS) is a genetic type I interferon (IFN)-mediated disease characterized by neurological involvement with onset in utero or in childhood. Here, we analyze peripheral blood samples from patients bearing AGS-causing mutation... read more 

Declining grassland canopy height in China under asymmetric biomass allocation.

Nature communications Mar 3, 2026
Grassland canopy height is one of the most important traits for determining plant diversity and community structure, directly affecting the resource use efficiency of livestock in grassland ecosystems. However, broad-scale changes in grassland canopy... read more 

A physics-guided machine learning framework for enhancing dust storm visibility prediction in arid and semi-arid regions.

Scientific reports Mar 3, 2026
Dust sharply degrades visibility in arid and semi-arid regions, yet operational forecasting remains challenged by near-surface process errors in numerical weather prediction (NWP) and the poor generalization of purely data-driven models. We present a... read more 
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