AIMC Topic: Observational Studies as Topic

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Jackalope Plus tool for post-coordination, ontology development, and precise mapping in observational health studies.

Scientific reports Jul 2, 2025
Accurate mapping of complex health data to the OMOP CDM while preserving clinical nuance remains a challenge. We introduce Jackalope Plus, a novel tool leveraging SNOMED CT post-coordination and a GPT-4o mini LLM, to significantly enhance the precisi...
Humans Software Observational Studies as Topic Systematized Nomenclature of Medicine Biological Ontologies
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Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol.

BMJ open May 24, 2025
INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a deeper understanding of the factors influencing PA, which conventional approaches often overlook by ass...
Wearable Electronic Devices Smartphone Observational Studies as Topic Self Report Aged Aged, 80 and over Male Exercise Heart Rate Motivation Independent Living Research Design Ecological Momentary Assessment Phenotype Humans Female
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Multicategory matched learning for estimating optimal individualized treatment rules in observational studies with application to a hepatocellular carcinoma study.

Statistical methods in medical research Jan 23, 2025
One primary goal of precision medicine is to estimate the individualized treatment rules that optimize patients' health outcomes based on individual characteristics. Health studies with multiple treatments are commonly seen in practice. However, most...
Humans Carcinoma, Hepatocellular Observational Studies as Topic Models, Statistical Machine Learning Computer Simulation Precision Medicine Liver Neoplasms
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Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study.

BMJ open Jan 7, 2025
INTRODUCTION: Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and early diagnosis of HF are challenging as its signs and symptoms are non-specific. We propose to address this global challenge by developing the STRATIFY...
Humans Artificial Intelligence Longitudinal Studies Observational Studies as Topic Male Prospective Studies Multicenter Studies as Topic Prognosis Heart Failure Validation Studies as Topic Female Aged Middle Aged Risk Assessment Decision Support Systems, Clinical
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Utilising causal inference methods to estimate effects and strategise interventions in observational health data.

PloS one Dec 30, 2024
Randomised controlled trials (RCTs) are the gold standard for evaluating health interventions but often face ethical and practical challenges. When RCTs are not feasible, large observational data sets emerge as a pivotal resource, though these data s...
Causality Young Adult Observational Studies as Topic Humans Adult Australia Machine Learning Male Female Middle Aged Aged
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StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

BMJ open Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Humans Research Design Retrospective Studies Risk Assessment Incidence Pregnancy Outcome Pregnancy Female New South Wales Information Storage and Retrieval Hospitals, Public Propensity Score Routinely Collected Health Data Delivery, Obstetric Predictive Learning Models Logistic Models Multilevel Analysis Observational Studies as Topic Diabetes, Gestational Glucose Tolerance Test
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Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP).

BMJ open Dec 12, 2024
INTRODUCTION: In sepsis treatment, achieving and maintaining effective antibiotic therapy is crucial. However, optimal antibiotic dosing faces challenges due to significant variability among patients with sepsis. Therapeutic drug monitoring (TDM), th...
Piperacillin, Tazobactam Drug Combination Observational Studies as Topic Drug Monitoring Meropenem Germany Machine Learning Prospective Studies Research Design Intensive Care Units Anti-Bacterial Agents Female Humans Sepsis Artificial Intelligence
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Cohort profile: AI-driven national Platform for CCTA for clinicaL and industriaL applicatiOns (APOLLO).

BMJ open Dec 2, 2024
PURPOSE: Coronary CT angiography (CCTA) is well established for the diagnostic evaluation and prognostication of coronary artery disease (CAD). The growing burden of CAD in Asia and the emergence of novel CT-based risk markers highlight the need for ...
Singapore Coronary Artery Disease Computed Tomography Angiography Middle Aged Risk Assessment Observational Studies as Topic Coronary Angiography Humans Artificial Intelligence Prospective Studies Aged Adult Male Retrospective Studies Female
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Machine learning for outcome prediction in patients with non-valvular atrial fibrillation from the GLORIA-AF registry.

Scientific reports Nov 7, 2024
Clinical risk scores that predict outcomes in patients with atrial fibrillation (AF) have modest predictive value. Machine learning (ML) may achieve greater results when predicting adverse outcomes in patients with recently diagnosed AF. Several ML m...
Atrial Fibrillation Observational Studies as Topic Machine Learning Area Under Curve Prognosis Registries Humans Stroke Female Risk Factors Aged, 80 and over Aged Male Middle Aged Risk Assessment
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Mobil Monitoring Doppler Ultrasound (MoMDUS) study: protocol for a prospective, observational study investigating the use of artificial intelligence and low-cost Doppler ultrasound for the automated quantification of hypertension, pre-eclampsia and fetal growth restriction in rural Guatemala.

BMJ open Sep 10, 2024
INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortality in low-income and middle-income countries. A key contributor to adverse perinatal outcomes in these settings is limited access to high-quality scree...
Hypertension Observational Studies as Topic Pre-Eclampsia Ultrasonography, Doppler Humans Adult Artificial Intelligence Ultrasonography, Prenatal Gestational Age Prospective Studies Deep Learning Fetal Growth Retardation Pregnancy Rural Population Guatemala Female
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