AIMC Topic: Chronic Disease

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The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians.

Journal of primary care & community health Apr 16, 2025
BACKGROUND: Artificial intelligence (AI) platforms can potentially enhance clinical decision-making (CDM) in primary care settings. OpenEvidence (OE), an AI tool, draws from trusted sources to generate evidence-based medicine (EBM) recommendations to...
Primary Health Care Diabetes Mellitus, Type 2 Hypertension Obesity Chronic Disease Female Hyperlipidemias Humans Male Artificial Intelligence Middle Aged Physicians, Primary Care Retrospective Studies Depression Evidence-Based Medicine Clinical Decision-Making
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Chronic Total Occlusion Percutaneous Coronary Intervention: Present and Future.

Circulation. Cardiovascular interventions Apr 14, 2025
Chronic total occlusion percutaneous coronary intervention has evolved into a subspecialty of interventional cardiology. Using a variety of antegrade and retrograde techniques, experienced operators currently achieve success rates of 85% to 90%, with...
Humans Coronary Occlusion Predictive Value of Tests Coronary Angiography Percutaneous Coronary Intervention Diffusion of Innovation Forecasting Risk Factors Treatment Outcome Chronic Disease
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AI Applications for Chronic Condition Self-Management: Scoping Review.

Journal of medical Internet research Apr 8, 2025
BACKGROUND: Artificial intelligence (AI) has potential in promoting and supporting self-management in patients with chronic conditions. However, the development and application of current AI technologies to meet patients' needs and improve their perf...
Humans Artificial Intelligence Self-Management Self Care Chronic Disease
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Integrative Multi-Omics and Routine Blood Analysis Using Deep Learning: Cost-Effective Early Prediction of Chronic Disease Risks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 2, 2025
Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progression, but the difficulty in early prediction remains a substantial health challenge worldwide. This study aims to explore the interconnectedness of disea...
Multiomics Humans Chronic Disease Female Cost-Benefit Analysis Risk Factors Middle Aged Risk Assessment Deep Learning Adult Male
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Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA.

Academic radiology Mar 30, 2025
RATIONALE AND OBJECTIVES: Coronary chronic total occlusion (CTO) and subtotal occlusion (STO) pose diagnostic challenges, differing in treatment strategies. Artificial intelligence and radiomics are promising tools for accurate discrimination. This s...
Retrospective Studies Female Sensitivity and Specificity Radiomics Humans Chronic Disease Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Occlusion Computed Tomography Angiography Male Middle Aged Deep Learning Diagnosis, Differential
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Machine learning prediction of premature death from multimorbidity among people with inflammatory bowel disease: a population-based retrospective cohort study.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne Mar 24, 2025
BACKGROUND: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health outcomes, and excess mortality. Our objectives we...
Female Aged Adult Male Humans Machine Learning Inflammatory Bowel Diseases Retrospective Studies Middle Aged Mortality, Premature Ontario Chronic Disease Multimorbidity
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Multi-omics integration and machine learning identify and validate neutrophil extracellular trap-associated gene signatures in chronic rhinosinusitis with nasal polyps.

Clinical immunology (Orlando, Fla.) Mar 13, 2025
This study aimed to explore the molecular characteristics of neutrophil extracellular traps (NETs) in chronic rhinosinusitis with nasal polyps (CRSwNP). Differentially expressed gene analysis, weighted gene co-expression network analysis, and machine...
Nasal Polyps Sinusitis Rhinitis Chronic Disease Rhinosinusitis Receptors, CXCR4 Humans Transcriptome Multiomics Extracellular Traps Neutrophils Adult Male Middle Aged Gene Expression Profiling Machine Learning Biomarkers Female
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Adult Male Stroke Volume Echocardiography Retrospective Studies Female Reproducibility of Results Young Adult Ventricular Dysfunction, Right Image Interpretation, Computer-Assisted Ventricular Function, Right Pulmonary Valve Insufficiency Severity of Illness Index Adolescent Chronic Disease Predictive Value of Tests Humans Machine Learning Prognosis
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Using Machine Learning Models to Diagnose Chronic Rhinosinusitis: Analysis of Pre-Treatment Patient-Generated Health Data to Predict Cardinal Symptoms and Sinonasal Inflammation.

American journal of rhinology & allergy Mar 11, 2025
BackgroundThe diagnosis of chronic rhinosinusitis (CRS) relies upon patient-reported symptoms and objective nasal endoscopy and/or computed tomography (CT) findings. Many patients, at the time of evaluation by an otolaryngologist or rhinologist, lack...
Humans Machine Learning Tomography, X-Ray Computed Rhinosinusitis Patient Reported Outcome Measures Middle Aged Sinusitis Rhinitis Chronic Disease Female Aged Adult Male
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Edge Computing System for Automatic Detection of Chronic Respiratory Diseases Using Audio Analysis.

Journal of medical systems Mar 4, 2025
Chronic respiratory diseases affect people worldwide, but conventional diagnostic methods may not be accessible in remote locations far from population centers. Sounds from the human respiratory system have displayed potential in autonomously detecti...
Smartphone Chronic Disease Signal Processing, Computer-Assisted Respiratory Sounds Asthma Sensitivity and Specificity Male Middle Aged Humans Artificial Intelligence Aged Machine Learning Adult Female Pulmonary Disease, Chronic Obstructive
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