Artificial Intelligence Medical Compendium

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

Showing 44,051 to 44,060 of 224,055 articles

Popformer: Learning general signatures of positive selection with a self-supervised transformer

bioRxiv Mar 6, 2026
Understanding natural selection can help shed light on the genetics underpinning adaptive evolution. The widespread availability of large-scale human genetic variation data has led to the development of data-driven methods for detecting signatures of... read more 
genomics

An Integrated Molecular Atlas of Alzheimer's Disease

medRxiv Mar 6, 2026
Alzheimer's disease (AD) is a complex neurodegenerative disorder with multifactorial etiology and widespread molecular manifestations. Investigating molecular disease associations in a broader multi-level context across omics modalities remains one c... read more 
neurology

[Paradigm breakthrough in postgraduate training of acupuncture professional master's degree in modern AI-driven medical scenes].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion Mar 6, 2026
Under the background of the rapid development of artificial intelligence (AI) technology, the postgraduate training of acupuncture professional master's degree is faced with the dual opportunities for updating educational concepts and changing practi... read more 

Evaluation of kidney biological age based on IgG N-glycosylation profiles and its association with chronic kidney disease in the context of predictive, preventive and personalized medicine.

The EPMA journal Mar 6, 2026
BACKGROUND: Chronic kidney disease (CKD) is associated with premature aging, which reflects in the difference between biological age and chronological age. Immunoglobulin G (IgG) N-glycosylation profiles have emerged as promising biomarkers for biolo... read more 

Geometry-aware PointNet for rapid prediction of cerebral aneurysm hemodynamics.

Computer methods and programs in biomedicine Mar 6, 2026
BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a significant health risk upon rupture. While computational fluid dynamics provides detailed hemodynamic information for risk assessment, its high computationa... read more 

MFBD : Model-free backdoor defense based on vision-language pre-trained models.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2026
Backdoor attacks pose serious security threats to deep neural networks (DNNs), causing networks to output predetermined target labels when specific trigger patterns are embedded in input images. While existing backdoor defense methods utilize additio... read more 

Stone metrics: is stone volume the new king?

Current opinion in urology Mar 6, 2026
PURPOSE OF REVIEW: Stone volume represents the most accurate measure of urolithiasis burden. While this may be obvious to all, this stone metric has not yet found its way into standard clinical practice or guidelines algorithms guiding treatment stra... read more 

Last-layer committee machines for uncertainty estimations of benthic imagery.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2026
Automating the annotation of benthic imagery (i.e., images of the seafloor and its associated organisms, habitats, and geological features) is critical for monitoring rapidly changing ocean ecosystems. Deep learning approaches have succeeded in this ... read more 

Federated open intent classification via granular-ball knowledge representation.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2026
Open Intent Classification (OIC) aims to simultaneously identify known intents and detect unknown intents in open-world scenarios. However, existing OIC methods rely on centralized data collected from different devices, which is often infeasible due ... read more 

Unraveling the spatial chemical heterogeneity of Lentinula edodes: Integrative metabolomics and machine learning for cultivar and origin classification.

Food chemistry Mar 6, 2026
As a major edible mushroom, Lentinula edodes requires accurate cultivar and origin authentication. Conventional homogenate-based metabolomics obscures spatial chemical information. This study establishes an integrated framework combining UHPLC-Orbitr... read more 
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