Marcus Eng Hock Ong

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

2024 · 144 Zit. · The Lancet Digital Health

AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

2020 · 141 Zit. · JMIR Medical Informatics

A translational perspective towards clinical AI fairness

2023 · 68 Zit. · npj Digital Medicine

Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

2021 · 67 Zit. · JAMA Network Open

Explainable artificial intelligence in emergency medicine: an overview

2023 · 48 Zit. · Clinical and Experimental Emergency Medicine

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges

2023 · 39 Zit. · Resuscitation Plus

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

2021 · 39 Zit. · International Journal of Environmental Research and Public Health

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

2023 · 37 Zit. · iScience

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

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 · 30 Zit. · PLOS Digital Health

A scoping review and evidence gap analysis of clinical AI fairness

2025 · 28 Zit. · npj Digital Medicine

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

2022 · 19 Zit. · Journal of Biomedical Informatics

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

2024 · 15 Zit. · Patterns

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

2025 · 12 Zit. · Asian Bioethics Review

AutoScore-Ordinal: an interpretable machine learning framework for generating scoring models for ordinal outcomes

2022 · 11 Zit. · BMC Medical Research Methodology