The George Institute for Global Health

The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

Genevieve Coorey, Gemma A. Figtree, David F. Fletcher et al.

2022 · 317 Zit.

Risk Models to Predict Hypertension: A Systematic Review

Justin B. Echouffo‐Tcheugui, G. David Batty, Mika Kivimäki et al.

2013 · 157 Zit.

Economic and quality of life burden of anemia on patients with CKD on dialysis: a systematic review

Bruce Spinowitz, Roberto Pecoits‐Filho, Wolfgang C. Winkelmayer­ et al.

2019 · 80 Zit.

Prognosis prediction in traumatic brain injury patients using machine learning algorithms

Hosseinali Khalili, Maziyar Rismani, Mohammad Ali Nematollahi et al.

2023 · 63 Zit.

Effectiveness of computerized clinical decision support systems for asthma and chronic obstructive pulmonary disease in primary care: a systematic review

Mariam Fathima, David Peiris, Pradnya Naik-Panvelkar et al.

2014 · 61 Zit.

Women’s representation as authors of retracted papers in the biomedical sciences

Ana‐Catarina Pinho‐Gomes, Carinna Hockham, Mark Woodward

2023 · 23 Zit.

Artificial Intelligence in Cardiology: An Australian Perspective

Biyanka Jaltotage, Abdul Rahman Ihdayhid, N. Lan et al.

2023 · 21 Zit.

Reporting Guideline for Chatbot Health Advice Studies

The CHART Collaborative, Bright Huo, Gary S. Collins et al.

2025 · 17 Zit.

Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study

Hongkuan Wang, William Jewett Tucker, Jitendra Jonnagaddala et al.

2023 · 11 Zit.

Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis

Yanan Wang, Zengyi Zhang, Zhimeng Zhang et al.

2025 · 8 Zit.

Artificial Intelligence and Ophthalmic Clinical Registries

Luke Tran, Himal Kandel, Daliya Sari et al.

2024 · 8 Zit.

Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting

Tae Won Yi, Chris Laing, Matthias Kretzler et al.

2021 · 7 Zit.

Nursing in the digital age: the importance of health technology and its advancement in nursing and healthcare

Susannah Jonathan

2024 · 6 Zit.

Reporting guideline for Chatbot Health Advice studies: the CHART statement

Bright Huo, Gary S. Collins, David Chartash et al.

2025 · 6 Zit.

On the ethical and moral dimensions of using artificial intelligence for evidence synthesis

Soumyadeep Bhaumik

2025 · 3 Zit.