Laleh Seyyed-Kalantari

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

2021 · 684 Zit. · Nature Medicine

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

2022 · 465 Zit. · The Lancet Digital Health

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

2023 · 214 Zit. · British Journal of Radiology

“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation

2023 · 83 Zit. · Journal of the American College of Radiology

CheXclusion: Fairness gaps in deep chest X-ray classifiers

2020 · 36 Zit.

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

2021 · 31 Zit. · arXiv (Cornell University)

The Subgroup Imperative: Chest Radiograph Classifier Generalization Gaps in Patient, Setting, and Pathology Subgroups

2023 · 23 Zit. · Radiology Artificial Intelligence

Medical imaging algorithms exacerbate biases in underdiagnosis

2021 · 9 Zit.

MLHOps: Machine Learning for Healthcare Operations

2023 · 6 Zit. · arXiv (Cornell University)

Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in assessing bias by machine learning algorithms’

2022 · 5 Zit. · Nature Medicine

Potential for near-term AI risks to evolve into existential threats in healthcare

2025 · 3 Zit. · BMJ Health & Care Informatics

Interpretability of AI race detection model in medical imaging with saliency methods

2025 · 3 Zit. · Computational and Structural Biotechnology Journal

The Challenge Dataset – simple evaluation for safe, transparent healthcare AI deployment

2022 · 3 Zit.

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors

2023 · 2 Zit. · arXiv (Cornell University)

Rethinking fairness in AI to improve current practice in oncology

2025 · 0 Zit. · Trends in cancer