Artificial Intelligence Medical Compendium

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

Showing 47,151 to 47,160 of 224,199 articles

Automated Delineation of Putative Non-Contrast-Enhancing Tumor in Glioblastoma: Prognostic Insights.

Neuro-oncology Feb 25, 2026
BACKGROUND: Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maximal safe resection, yet routine imaging cannot reliably separate infiltrative tumor from vasogenic edema. The aim of this study was to dev... read more 

Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

Translational psychiatry Feb 25, 2026
The accuracy of grey-matter predictors of depression has remained limited. In this study, brain-based predictors of major depressive disorder (MDD) were trained using machine-learning (Best Linear Unbiased Predictors [BLUP]) and deep-learning (ResNet... read more 

Breaking through safety performance stagnation in autonomous vehicles with dense learning.

Nature communications Feb 25, 2026
Autonomous vehicles remain commercially limited largely due to safety performance stagnation. Existing deep learning, heavily reliant on failure data from rare safety-critical events, suffers from the seesaw effect-improvement in some scenarios cause... read more 

Machine learning integration of serial blood biomarkers enhances cognitive decline prediction in early Parkinson's disease.

NPJ Parkinson's disease Feb 25, 2026
Cognitive decline is a major non-motor complication in early Parkinson's disease (PD), but predicting its progression remains challenging. Using data from 193 participants in the Early Parkinson's Disease Longitudinal Singapore (PALS) cohort, we eval... read more 

A Graph-based Benchmark dataset for Printed Circuit Netlist Partitioning.

Scientific data Feb 25, 2026
As a critical component of electronic design automation and reverse engineering, printed circuit netlist partitioning has long been a significant research topic in this field. Recent advancements in graph machine learning techniques have brought new ... read more 

Applicability analysis of tree-based ensemble learning for air pollutant prediction models.

Scientific reports Feb 25, 2026
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A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization.

Scientific data Feb 25, 2026
Patient's unique information needs about their hospitalization can be addressed using clinical evidence from electronic health records (EHRs) and artificial intelligence (AI). However, robust datasets to assess the factuality and relevance of AI-gene... read more 

Molecular sensory science combined with machine learning for exploring key odor-active compounds and aging-feature compounds of Shanxi aged vinegar.

NPJ science of food Feb 25, 2026
Aroma compounds in fermented foods are from raw material or produced by microorganisms, contributing to their diverse aroma profiles. The key odor-active compounds (OACs) present in Shanxi aged vinegar (SAV), one of China's famous vinegars, were syst... read more 

Integrative machine learning and molecular docking reveal Narirutin targets ABCC1/ABCG2 for immune microenvironment remodeling in colorectal cancer.

Scientific reports Feb 25, 2026
Colorectal cancer (CRC) is one of the most prevalent and deadly cancers worldwide, with late-stage diagnosis often associated with poor prognosis. The natural compound narirutin has shown various biological activities, including anti-inflammatory and... read more 

Digital watermarking for virtual physically unclonable function data concealment and authentication.

Scientific reports Feb 25, 2026
Split-learning-based Virtual Physically Unclonable Functions (VPUFs) in Internet of Things (IoT) networks remain vulnerable to eavesdropping and replay attacks due to insufficient security mechanisms that balance robustness with computational efficie... read more 
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