Artificial Intelligence Medical Compendium

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

Showing 30,801 to 30,810 of 220,177 articles

Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegeneration.

GeroScience Apr 15, 2026
Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this chall... read more 

Application of artificial intelligence on magnetocardiology.

Clinical hemorheology and microcirculation Apr 15, 2026
Early diagnosis and localization of the ischemic region are critical for effective treatment of ischemic heart disease (IHD), a condition which leads to a dysfunctional microcirculation in the heart. To detect the presence and extent of myocardial is... read more 

Development and validation of a deep learning radiomics model for predicting adjacent segment degeneration following anterior cervical discectomy and fusion.

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 Apr 15, 2026
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Machine learning-based multi-omic analysis identifies CEP55, DLGAP5, and EZH2 as regulated cell death biomarkers linked to immunotherapy resistance in hepatocellular carcinoma.

Naunyn-Schmiedeberg's archives of pharmacology Apr 15, 2026
Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors (ICIs), largely due to an immunosuppressive tumor microenvironment (TME). Regulated cell death (RCD) pathways, including ferroptosis, necroptosis, an... read more 

Explainable Machine Learning for Efficient Cocrystal Prediction: Leveraging Morgan Fingerprints to Decode Local Structure-Cocrystal Formation Relationships.

The journal of physical chemistry. A Apr 15, 2026
Cocrystallization is a pivotal strategy for optimizing the physicochemical properties of functional molecular materials, yet its development is bottlenecked by time-consuming and labor-intensive experimental screening. While machine learning (ML) has... read more 

Evaluation of the reliability of large language models for ASA-PS classification in cardiovascular surgery: a pilot study.

JA clinical reports Apr 15, 2026
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Integrated Transcriptomics and Machine Learning Reveal Lipid Metabolism Related Genes in Ischemic Stroke.

Journal of molecular neuroscience : MN Apr 15, 2026
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Multi-site distributed training with data protections for PET-based synthetic CT.

EJNMMI physics Apr 15, 2026
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Single-cell transcriptomics and machine learning identify RNF144B and C5AR1 as immune-related molecular signatures and therapeutic targets in myocardial infarction.

Genes & genomics Apr 15, 2026
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Early prediction of bowel necrosis in incarcerated groin hernia using parsimonious machine learning models: a retrospective cohort study.

Hernia : the journal of hernias and abdominal wall surgery Apr 15, 2026
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