Westmead Hospital

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.

Evaluating the Efficacy of ChatGPT as a Patient Education Tool in Prostate Cancer: Multimetric Assessment

Damien Gibson, Stuart Jackson, Ramesh Shanmugasundaram et al.

2024 · 79 Zit.

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

Weber Liu, Liliana Laranjo, Harry Klimis et al.

2023 · 65 Zit.

Impact of big data on oral health outcomes

Shanika Nanayakkara, Xiaoyan Zhou, Heiko Spallek

2018 · 28 Zit.

Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives

Giuseppe Lippi, Camilla Mattiuzzi, Emmanuel J. Favaloro

2023 · 22 Zit.

Environmental impact of large language models in medicine

Oliver Kleinig, Shreyans Sinhal, Rushan Khurram et al.

2024 · 19 Zit.

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

Ammar Zaka, D. Mutahar, J. Gorcilov et al.

2024 · 18 Zit.

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

Nicole Lowres, Andrew Duckworth, Julie Redfern et al.

2020 · 15 Zit.

<scp>ChatGPT</scp> as a patient education tool in colorectal cancer—An in‐depth assessment of efficacy, quality and readability

Adrian Siu, Damien Gibson, Christopher Chiu et al.

2024 · 13 Zit.

Emerging Roles of Artificial Intelligence (AI) in Cardiology: Benefits and Barriers in a ‘Brave New World’

N. Bart, Salvatore Pepe, Ann Gregory et al.

2023 · 12 Zit.

Assessing ChatGPT-4’s performance on the US prosthodontic exam: impact of fine-tuning and contextual prompting vs. base knowledge, a cross-sectional study

Mahmood Dashti, Farshad Khosraviani, Tara Azimi et al.

2025 · 11 Zit.

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

Ritu Trivedi, Tim Shaw, Brodie Sheahen et al.

2025 · 9 Zit.

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

Aashray Gupta, Cecil Mustafiz, D. Mutahar et al.

2025 · 7 Zit.

ChatGPT-4 for addressing patient-centred frequently asked questions in age-related macular degeneration clinical practice

Henrietta Wang, Amanda Ie, Thomas Chan et al.

2025 · 7 Zit.

Machine learning and coagulation testing: the next big thing in hemostasis investigations?

Emmanuel J. Favaloro, Davide Negrini

2021 · 6 Zit.