Artificial Intelligence Medical Compendium

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

Showing 34,851 to 34,860 of 221,633 articles

Temporal Knowledge Discovery in Drug-Resistant Tuberculosis: A Decade-Long Machine Learning Analysis From Egyptian Clinical Data.

International journal of medical informatics Apr 2, 2026
BACKGROUND: Advanced predictive tools are required due to the worldwide persistence of tuberculosis (TB) and the growing threat of multidrug-resistant tuberculosis (MDR-TB). The rate and precision of traditional diagnostic techniques frequently exper... read more 

Generative artificial intelligence in medical scientific writing: Practical and ethical considerations.

Archivos argentinos de pediatria Apr 2, 2026
Generative artificial intelligence (AI) is transforming scientific communication in health, offering opportunities to improve the quality and efficiency of academic writing. This article provides practical guidance for healthcare professionals on the... read more 

Fuzzy-logic-driven predictions of multi-tissue ingrowth for rapid screening of mechanically instructive tissue-engineering scaffolds.

Biomedical materials (Bristol, England) Apr 2, 2026
High retear rates in surgical intervention of interfacial/transitional tissues (bone-tendon, bone-ligament) drive a need to design tissue engineering scaffolds that can successfully mimic healthy tissue mechanics. Current testing mechanisms of scaffo... read more 

An algorithm-enhanced stool DNA system improves the differential diagnosis of colorectal cancer versus Crohn's disease in high-risk symptomatic patients.

Computer methods and programs in biomedicine Apr 2, 2026
BACKGROUND AND OBJECTIVE: Crohn's disease (CD) and colorectal cancer (CRC) share many clinical symptoms, making non-invasive differential diagnosis difficult. FIT-sDNA is sensitive for CRC screening in average-risk populations but often gives false p... read more 

Precision Grounding: augmenting large language models with evidence-based databases for trustworthy genetic variant summarization.

International journal of medical informatics Apr 2, 2026
PURPOSE: To propose a novel method that augments LLMs with evidence-based, variant-specific information to improve summarization accuracy and support clinical decision making. METHODS: We proposed Precision Grounding which uses a query tool that inte... read more 

"Can a chatbot be used in the full-text screening in a systematic review?".

International journal of medical informatics Apr 2, 2026
INTRODUCTION: Large language model-based artificial intelligence tools are increasingly explored to support systematic reviews, yet evidence regarding their reliability in full-text screening remains limited. This study evaluated the performance of t... read more 

RxPairEvid and GraphFusion: Multimodal pharmacovigilance and mechanistic knowledge-graph evidence for drug-drug interaction prediction.

Computational biology and chemistry Apr 2, 2026
Drug-drug interactions (DDIs) are a major cause of preventable adverse drug reactions, yet experimental screening cannot keep pace with the growing number of possible drug pairs. We present RxPairEvid, a large-scale multimodal evidence bank containin... read more 

A state-of-the-art review of scientific, industrial, and commercial developments in water leakage management for water supply systems.

Water research Apr 2, 2026
Detecting water leakage represents a significant and pervasive challenge in water supply systems due to the complexity of network behavior, and the diversity of leakage manifestations, which may remain undetected. The magnitude of leakage varies cons... read more 

Learning with less supervision: A survey of label-efficient learning for medical image analysis.

Medical image analysis Apr 2, 2026
Deep learning has significantly advanced medical imaging analysis (MIA), achieving state-of-the-art performance across diverse clinical tasks. However, its success largely depends on large-scale, high-quality labeled datasets, which are costly and ti... read more 

Construction of an interpretable multimodal image model for differentiating T1-stage nasopharyngeal carcinoma from benign hyperplasia.

European journal of radiology Apr 2, 2026
BACKGROUND AND OBJECTIVE: Differentiating T1-stage nasopharyngeal carcinoma (NPC) from benign hyperplasia (BH) is challenging. This study aims to construct and validate a multimodal model combining magnetic resonance imaging (MRI) and endoscopy to di... read more 
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