OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 06.05.2026, 08:59

Clara K Chow

767 Arbeiten28.490 Zitationen

The University of Sydney · AU

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

2022 · 84 Zit. · Frontiers in Cardiovascular Medicine

Machine-learning versus traditional approaches for atherosclerotic cardiovascular risk prognostication in primary prevention cohorts: a systematic review and meta-analysis

2023 · 65 Zit. · European Heart Journal - Quality of Care and Clinical Outcomes

Artificial Intelligence in Cardiology: An Australian Perspective

2023 · 21 Zit. · Heart Lung and Circulation

Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis

2024 · 18 Zit. · European Heart Journal - Digital Health

Environmental impact of large language models in medicine

2024 · 18 Zit. · Internal Medicine Journal

Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study

2020 · 15 Zit. · JMIR mhealth and uhealth

Coordinating Health Care With Artificial Intelligence–Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial

2022 · 13 Zit. · JMIR Research Protocols

Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis

2025 · 8 Zit. · Journal of Medical Internet Research

Use of digital patient decision-support tools for atrial fibrillation treatments: a systematic review and meta-analysis

2024 · 8 Zit. · BMJ evidence-based medicine

Machine Learning vs Traditional Approaches to Predict All-Cause Mortality for Acute Coronary Syndrome: A Systematic Review and Meta-analysis

2025 · 7 Zit. · Canadian Journal of Cardiology

Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial

2025 · 4 Zit. · JMIR Cardio

Does the Application of Artificial Intelligence in the Usual Care of Patients Improve Outcomes in Those Living With Heart Failure? A Systematic Review

2025 · 0 Zit. · Heart Lung and Circulation

Comparison of Machine Learning and Traditional Methods for Prediction of Adverse Clinical Events After Percutaneous Coronary Intervention

2024 · 0 Zit. · Heart Lung and Circulation