Marzyeh Ghassemi

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

2024 · 1.728 Zit. · BMJ

The false hope of current approaches to explainable artificial intelligence in health care

2021 · 1.271 Zit. · The Lancet Digital Health

Do no harm: a roadmap for responsible machine learning for health care

2019 · 937 Zit. · Nature Medicine

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

2021 · 720 Zit. · Nature Medicine

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

2022 · 488 Zit. · The Lancet Digital Health

Do as AI say: susceptibility in deployment of clinical decision-aids

2021 · 417 Zit. · npj Digital Medicine

The role of machine learning in clinical research: transforming the future of evidence generation

2021 · 274 Zit. · Trials

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

2025 · 259 Zit. · BMJ

The value of standards for health datasets in artificial intelligence-based applications

2023 · 250 Zit. · Nature Medicine

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

2021 · 224 Zit. · Nature Medicine

The medical algorithmic audit

2022 · 212 Zit. · The Lancet Digital Health

Treating health disparities with artificial intelligence

2020 · 206 Zit. · Nature Medicine

The limits of fair medical imaging AI in real-world generalization

2024 · 182 Zit. · Nature Medicine

Practical guidance on artificial intelligence for health-care data

2019 · 143 Zit. · The Lancet Digital Health

Hurtful words

2020 · 120 Zit.