Leo Anthony Celi

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.466 Zit. · BMJ

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

2018 · 1.144 Zit. · Nature Medicine

AI recognition of patient race in medical imaging: a modelling study

2022 · 470 Zit. · The Lancet Digital Health

The “inconvenient truth” about AI in healthcare

2019 · 459 Zit. · npj Digital Medicine

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

2022 · 420 Zit. · PLOS Digital Health

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

2023 · 403 Zit. · The Lancet Digital Health

Guidelines for reinforcement learning in healthcare

2018 · 352 Zit. · Nature Medicine

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

2022 · 324 Zit. · npj Digital Medicine

ChatGPT passing USMLE shines a spotlight on the flaws of medical education

2023 · 282 Zit. · PLOS Digital Health

Ethics of large language models in medicine and medical research

2023 · 265 Zit. · The Lancet Digital Health

The TRIPOD-LLM reporting guideline for studies using large language models

2025 · 234 Zit. · Nature Medicine

What do medical students actually need to know about artificial intelligence?

2020 · 223 Zit. · npj Digital Medicine

AI pitfalls and what not to do: mitigating bias in AI

2023 · 216 Zit. · British Journal of Radiology

Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association

2024 · 200 Zit. · Circulation

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 186 Zit. · BMJ