Artificial Intelligence Medical Compendium

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

Showing 2,951 to 2,960 of 202,937 articles

Survival Benefit Analysis of Beta-Blockers in Patients with Sepsis-induced TnT-positive myocardial injury Across Different Clinical Subtypes of Sepsis: A Retrospective Study Based on the MIMIC-IV Database.

European journal of pharmacology
OBJECTIVE: To explore the survival benefits of beta-blockers in patients with sepsis-induced TnT-positive myocardial injury across different clinical subtypes and to analyze their potential mechanisms of action. METHODS: Based on the Medical Informat... read more 

Machine learning, bioinformatics analysis and chemical screening streamline target validation by identifying RNA helicase as a druggable essential protein in tobacco mosaic virus.

Journal of advanced research
INTRODUCTION: Plant viruses inflict annual economic losses exceeding $30 billion and pose a significant threat to global food security. Discovering reliable antiviral targets is therefore essential to developing effective agents that can substantiall... read more 

Rural Airborne PM2.5-bound Microplastics and Heavy Metals: GIS-AI Risk Assessment Review.

The Science of the total environment
Fine particulate matter (PM2.5) is a critical air pollutant and carrier of toxic co-contaminants, including microplastics (MPs) and heavy metals (HMs), posing severe human health risks. Rural exposure studies lag behind urban ones. This review system... read more 

Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer.

Cancer epidemiology
AIM: We investigated associations between consensus molecular subtype (CMS) and colon cancer recurrence, and explored how the inflammatory potential of diet and lifestyle relate to recurrence across CMS subgroups. METHODS: A nested case-control study... read more 

Radiation dose-aware sinogram knowledge library transformer with feature modulation for low-dose medical image segmentation.

Computers in biology and medicine
Low-dose computed tomography (LDCT) and low-dose positron emission tomography (LDPET) enable shorter acquisition times and lower radiation exposure. However, dose reduction leads to low-count data, which increases noise and variance and can introduce... read more 

Electrocardiogram-based short-term risk stratification for acute kidney injury using time-frequency deep learning analysis.

Computers in biology and medicine
BACKGROUND AND OBJECTIVES: Acute kidney injury (AKI) is a common and clinically important complication in critically ill and perioperative patients. Conventional AKI diagnosis relies primarily on serum creatinine and urine output, which may reflect r... read more 

Content Validation of the AI-TPACK-E: Assessing AI Literacy Among Nurse Educators.

Computers, informatics, nursing : CIN
There is a critical need to assess nurse educators' competencies in artificial intelligence (AI), yet no validated assessment tool currently exists to measure their level of AI literacy. Developing such a tool is critical to guide targeted educationa... read more 

Novel technologies for gastrointestinal cancer detection: a systematic review and meta-analysis of diagnostic accuracy.

Clinical and translational gastroenterology
INTRODUCTION: Gastrointestinal (GI) cancers account for a quarter of all cancers and one-third of cancer-related deaths worldwide. Novel diagnostic approaches are crucial to enhance early detection and improve patient outcomes. This review systematic... read more 

Intracellular acidification by microbiota-derived valeric acid facilitates trans-kingdom ecology limiting Candida parapsilosis colonization.

Cell host & microbe
In hematopoietic cell transplant (HCT) patients, intestinal Candida parapsilosis expansion and translocation can cause life-threatening candidemia, yet whether commensal intestinal bacteria prevent Candida expansion remains incompletely defined. Here... read more