National University Heart Centre Singapore

World Heart Federation Roadmap for Digital Health in Cardiology

Jasper Tromp, Devraj Jindal, Julie Redfern et al.

2022 · 79 Zit.

Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review

Marcel Lucas Chee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui et al.

2021 · 37 Zit.

CURATE.AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE.AI (CURATE.AI ADAPT trial)

Anh T. L. Truong, Shi‐Bei Tan, G. Wang et al.

2023 · 13 Zit.

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

Joy T. Wu, Miguel Ángel Armengol de la Hoz, Po‐Chih Kuo et al.

2022 · 11 Zit.

Artificial intelligence in peripheral blood films: an evolving landscape

Bingwen Eugene Fan, Samuel Sherng Young Wang, Min Yi Natalie Aw et al.

2022 · 7 Zit.

Artificial Intelligence Fully Automated Analysis of Handheld Echocardiography in Real-World Patients with Suspected Heart Failure

Ross T. Campbell, Mark C Petrie, Kieran F. Docherty et al.

2025 · 3 Zit.

Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review

Marcel Lucas Chee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui et al.

2021 · 2 Zit.

Leadership, Culture, and Employee Wellbeing in Dealing with Artificial Intelligence and Its Complexities: Effects on Mental Health in the Workplace

Peter Olakunle Alawiye, Samiat Ishola, Basil Ifeanyichukwu Okpara et al.

2025 · 0 Zit.

Author Correction: Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting

Siqi Li, Yohei Okada, Wenjun Gu et al.

2026 · 0 Zit.

Preliminary insights into artificial intelligence guided dosing in hypertension and diabetes: challenges and lessons learnt in a pilot feasibility study

Jennifer Sumner, Mehul Motani, Jina Ali et al.

2026 · 0 Zit.

Unveiling the black box: imperative for explainable AI in cardiovascular disease (CVD) prevention–author reply

Mayank Dalakoti, Scott W. Wong, Roger Foo

2024 · 0 Zit.

Leveraging AI and transfer learning to enhance out-of-hospital cardiac arrest outcome prediction in diverse setting

Siqi Li, Yohei Okada, Wenjun Gu et al.

2025 · 0 Zit.

Role of ChatGPT in interventional cardiology

Ashita Ashish Sule, Kian Keong Poh, Dinesh Kumar Srinivasan

2025 · 0 Zit.