Artificial Intelligence Medical Compendium

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

Showing 43,601 to 43,610 of 224,055 articles

Machine learning-powered decoding of facial complexity: a diamond-and-triangle geometry for frontal facial analysis.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Facial configuration is far more complicated and variable than the representations offered by a couple of conventionally used mathematic laws, necessitating development of a comprehensive and interracially comparable system for frontal facial analysi... read more 

Effects of long-term exposure to nitrogen dioxide with cardiovascular mortality: Evidence from a nationwide cohort study.

Ecotoxicology and environmental safety
Nitrogen dioxide (NO2) is a significant ambient pollutant whose independent health effects have not been well confirmed. Evidence on the relationship between long-term NO2 exposure and cardiovascular mortality is limited and inconsistent, particularl... read more 

Resveratrol ameliorates sepsis-induced immune dysfunction by targeting GADD45A to maintain hematopoietic stem cell homeostasis: A predictive study integrating ensemble machine learning, single-cell transcriptomics, and molecular dynamics simulation.

International immunopharmacology
OBJECTIVE: To investigate the potential pharmacological mechanisms of resveratrol (RES) in ameliorating sepsis-associated immune dysfunction via the GADD45A-mediated hematopoietic regulatory pathway. METHODS: This study integrated network pharmacolog... read more 

Empirical evaluation of variability and multi-institutional generalizability of deep learning survival models: application to renal cancer CT scans.

Computers in biology and medicine
Deep learning survival (DLS) modeling has shown significant promise across multiple disease conditions for predicting patient outcomes via biomedical data, but remain relatively under-explored in conjunction with medical imaging. This poses the quest... read more 

Revolutionizing hepatic fibrosis staging: A machine learning approach combining clinical, biochemical, and microbiome insights.

Computers in biology and medicine
Non-alcoholic Steatohepatitis (NASH) is a common disease that not only affects adults but has also been seen to affect all ages. This includes young adults, children and even babies. Non-alcoholic fatty liver disease (NAFLD), NASH and the progression... read more 

Bridging immunization gaps in Sub-Saharan Africa: a narrative review of microplanning, geospatial, and machine learning approaches to reach zero-dose children and under-immunised children.

Vaccine
Immunization inequities persist across Sub-Saharan Africa, with significant numbers of zero-dose and under-immunised children contributing to preventable morbidity and mortality. This narrative review critically examines the integration and effective... read more 

Knee osteoarthritis classification using Optimized Granger Causality Inspired Graph Neural Network with Accelerated Model-agnostic Explanations.

The Knee
BACKGROUND: Knee osteoarthritis (KOA) is a common, degenerative joint condition where cartilage wears away, causing bone-on-bone friction, leading to pain, stiffness, swelling, and reduced mobility, often with a cracking sound (crepitus). KOA affects... read more 

Machine learning-based prognostic analysis of patients with status epilepticus in the neurological intensive care unit.

Journal of critical care
OBJECTIVE: This study aimed to develop and validate machine learning (ML) models for predicting the prognosis of status epilepticus (SE) patients with multisystem complications. METHODS: We developed predictive models using six ML algorithms: least a... read more 

Evolution: Shark and ray biodiversity in deep time.

Current biology : CB
As marine predators, sharks and rays are key to the health of ocean ecosystems. Despite recent advances, our understanding of their past biodiversity remains controversial. A new study using deep learning for evaluating big data highlights emerging r... read more