Artificial Intelligence Medical Compendium

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

Showing 52,111 to 52,120 of 225,279 articles

Current and future use of artificial intelligence in valvular heart disease imaging.

European heart journal. Cardiovascular Imaging Feb 9, 2026
Valvular heart disease (VHD) remains significantly underdiagnosed and undertreated. This review examines an artificial intelligence (AI)-enhanced 'spoke-hub-node' care model designed to improve the early detection, risk stratification, and treatment ... read more 

Randomized controlled trials in valvular heart disease: the evolving role of multimodality imaging.

European heart journal. Cardiovascular Imaging Feb 9, 2026
Valvular heart disease represents a significant global health burden, with an estimated prevalence of 2.5% in high-income countries and projected increases due to population ageing. Randomized controlled trials in valvular heart disease have undergon... read more 

Boundary-aware and discrepancy-guided dynamic pseudo-labeling with consistency learning for semi-supervised 3D TOF-MRA cerebrovascular segmentation.

Physics in medicine and biology Feb 9, 2026
Objective.Cerebrovascular diseases are a major global health challenge due to their high morbidity and mortality rates. Accurate segmentation of cerebrovascular structures in TOF-MRA is crucial for accurate diagnosis and treatment planning. However, ... read more 

Early Prediction of Adverse Stroke Outcomes using Non-clinical Factors and Missing Data: A Machine Learning Study.

Cerebrovascular diseases (Basel, Switzerland) Feb 9, 2026
Introduction Early prediction of stroke outcomes using prognostic tools may help clinical decision making and inform resource allocation. However, clinical information required to inform prediction tools is often missing. We evaluated the performance... read more 

Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients undergoing Surgical Resection.

Urologia internationalis Feb 9, 2026
OBJECTIVE: Chronic kidney disease (CKD) is a significant concern following renal tumor surgery, impacting long-term renal function and patient outcomes. This study investigates the potential of CT-based radiomics as a quantitative imaging approach to... read more 

MAGIN-GO: Protein function prediction based on dual graph neural networks and gene ontology structure.

PloS one Feb 9, 2026
Proteins are fundamental to the execution of biological activities, and the accurate prediction of their functions is of paramount importance for protein research. Recent advancements in deep learning, particularly those based on Graph Neural Network... read more 

Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand.

PLOS digital health Feb 9, 2026
Dengue severity prediction models are usually developed using hospitalized patient data, but triage and hospital admission are mainly evaluated in outpatient settings. This study developed models using clinical and laboratory data from patients in ou... read more 

Perceptions and knowledge of machine learning for paediatric related decision support in emergency care - A UK and Ireland network survey study of clinician leaders.

PLOS digital health Feb 9, 2026
This study explores clinician leaders understanding and perception at site level towards machine learning (ML) decision support tools for paediatric related emergency care across the UK and Ireland, essential in guiding safe and effective frontline i... read more 

Enhanced extractive text summarization framework for low-resourced Urdu language.

PloS one Feb 9, 2026
This era has witnessed an enormous increase in textual corpus available in digital form. Therefore, an intelligent mechanism is required to extract the essential information. This task is performed using an automatic text summarization that converts ... read more 

A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization.

PloS one Feb 9, 2026
The increasing complexity of consumer preferences in the notebook market requires advanced methodologies to effectively analyze user sentiments and prioritize product features for strategic decision-making. Traditional market research methods often f... read more 
Popular Topics
Recent Journals