Artificial Intelligence Medical Compendium

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

Showing 1,821 to 1,830 of 200,546 articles

Machine learning based detection of subacute ruminal acidosis in early lactation dairy cows using multi-sensor behavioral, physiological, and milk production data.

Scientific reports May 29, 2026
Subacute ruminal acidosis (SARA) is a common metabolic disorder in early lactation dairy cows that negatively affects rumen function, milk production, and animal welfare. Early identification remains challenging because clinical signs are often subtl... read more 

Wireless charging ferrite core design with improved material efficiency for mobile devices by enhancing outer-region flux density.

Scientific reports May 29, 2026
Wireless power transfer (WPT) systems integrated with machine learning (ML) techniques have emerged as promising solutions for enhancing performance and efficiency. Material efficiency, which involves achieving high performance with minimal material ... read more 

Ethnicity-specific molecular subtypes and a machine-learning risk model in Asian patients with non-muscle-invasive bladder cancer.

Scientific reports May 29, 2026
Non-muscle-invasive bladder cancer (NMIBC) has high rates of recurrence and progression, yet its molecular landscape across different ethnicities remains poorly defined. We assembled a meta-cohort of 202 Asian NMIBC transcriptomes and identified thre... read more 

Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.

NPJ digital medicine May 29, 2026
Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies depend on the causative pathogen, early and accurate diagnosis is crucial. We developed and validated a... read more 

Application of artificial neural networks to solve differential equations in Zika virus dynamics with exponential kernel derivatives.

Scientific reports May 29, 2026
The Zika virus is a relatively new pathogen that has quickly become a major issue in virology. Infectious mosquitoes of the Aedes genus, particularly Aedes aegypti, spread the Zika virus in tropical and subtropical areas. Most bites from Aedes mosqui... read more 

Early detection of gastric cancer: a novel circulating microbiome DNA based liquid biopsy assay.

NPJ precision oncology May 29, 2026
Microorganisms play significant roles in gastric cancer (GC) progression. However, it is unknown whether circulating microbiome DNA (cmDNA) possesses GC specific features and could serve as diagnostic biomarker for GC detection. In this study, one co... read more 

CholBindNet as an interpretable neural network for cholesterol-binding site classification.

Communications chemistry May 29, 2026
Cholesterol is a key modulator of membrane protein structure and function, yet predicting cholesterol-binding sites remains challenging due to its non-druglike physicochemical properties. Here, we curated more than 800 high-resolution transmembrane p... read more 

Development and validation of a noninvasive machine learning model using urinary extracellular vesicle physical parameters for prostate cancer diagnosis.

Scientific reports May 29, 2026
Urinary extracellular vesicles (uEVs) are promising biomarkers for prostate cancer (PCa). Although novel uEV-based biomarkers have advanced early diagnosis, their detection processes remain cumbersome and cost-prohibitive. The physical parameters of ... read more 

Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.

Scientific reports May 29, 2026
Identifying the author of given textual excerpts is a challenging and significant task in computational linguistics. In this paper, we propose a novel deep-learning model structured based on a Pyramid Deep Bidirectional Gated Recurrent Unit (biGRU) n... read more 

A temporal adaptive dictionary-constrained LDA and Bi-calibrated dual granularity DTM framework for dynamic topic evolution analysis in academic papers.

Scientific reports May 29, 2026
With the explosive growth of academic achievements in artificial intelligence (AI), accurately capturing the dynamic evolution of research topics is crucial for research topic selection, policy-making, and industrial innovation. To address the limita... read more 
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