Chris Holmes

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

2020 · 460 Zit. · BMJ

To do no harm — and the most good — with AI in health care

2024 · 68 Zit. · Nature Medicine

Improving the quality of machine learning in health applications and clinical research

2020 · 65 Zit. · Nature Machine Intelligence

To Do No Harm — and the Most Good — with AI in Health Care

2024 · 56 Zit. · NEJM AI

Machine learning and AI research for Patient Benefit: 20 Critical\n Questions on Transparency, Replicability, Ethics and Effectiveness

2018 · 17 Zit. · arXiv (Cornell University)

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness

2018 · 17 Zit. · University of Birmingham Research Portal (University of Birmingham)

Making the invisible visible: what can we do about biased AI in medical devices?

2023 · 5 Zit. · BMJ

Causal Falsification of Digital Twins

2023 · 0 Zit. · arXiv (Cornell University)