Artificial Intelligence Medical Compendium

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

Showing 8,651 to 8,660 of 208,216 articles

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 

Generating knotted polymer and protein structures by machine learning.

Communications chemistry May 29, 2026
Knotted molecules occur naturally and can be designed to obtain unique biological and materials properties. While knotted molecular conformations can be produced using conventional molecular simulation methods, here we develop a diffusion-based machi... read more 

Predict neuromuscular performance in human epidural electrical stimulation: phase 1 trial interim results.

Communications medicine May 29, 2026
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primary challenge in this therapy lies in identifying feasible stimulation parameters in huge selection sp... read more 

Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.

NPJ digital medicine May 29, 2026
Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing both AI(Artificial Intelligence)- and rule-based systems, provide scalable mental health interventi... read more 

Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.

BMC plant biology May 29, 2026
Understanding the molecular basis of phenotypic trait variation is key in improving field performance in plants. Many plants have high within seed source phenotypic variation, making trait-based inferences for performance difficult and inaccurate. Ou... read more 
Popular Topics
Recent Journals