Marcus Eng Hock Ong

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

2024 · 122 Zit. · The Lancet Digital Health

A translational perspective towards clinical AI fairness

2023 · 65 Zit. · npj Digital Medicine

Explainable artificial intelligence in emergency medicine: an overview

2023 · 39 Zit. · Clinical and Experimental Emergency Medicine

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

2021 · 37 Zit. · International Journal of Environmental Research and Public Health

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review

2023 · 33 Zit. · Journal of the American Medical Informatics Association

Artificial intelligence and machine learning in prehospital emergency care: A scoping review

2023 · 33 Zit. · iScience

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

2022 · 29 Zit. · PLOS Digital Health

A scoping review and evidence gap analysis of clinical AI fairness

2025 · 22 Zit. · npj Digital Medicine

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare

2024 · 14 Zit. · Patterns

Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction

2024 · 11 Zit. · BMC Palliative Care

Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World?

2025 · 9 Zit. · Asian Bioethics Review

Explainable AI

2019 · 8 Zit.

Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist

2023 · 7 Zit. · arXiv (Cornell University)

Artificial Intelligence and Machine Learning in Prehospital Emergency Care: A Systematic Scoping Review

2023 · 5 Zit.

Variable importance analysis with interpretable machine learning for fair risk prediction

2024 · 4 Zit. · PLOS Digital Health