Marzyeh Ghassemi

Most-cited papers

The false hope of current approaches to explainable artificial intelligence in health care.
Marzyeh Ghassemi, Luke Oakden-Rayner, Andrew Beam
2021The Lancet Digital Health1,432 citations Open access
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Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
L. Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott, Irene Y. Chen +1 more
2021Nature Medicine984 citations Open access
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COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen, Paul Morrison, L. Dao, Karsten Roth +2 more
2020The Journal of Machine Learning for Biomedical Imaging864 citations Open access
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FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F Frangi, A. R. Porras, Ben Glocker +116 more
2023British medical journal839 citations Open access
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AI recognition of patient race in medical imaging: a modelling study
J. Gichoya, Imon Banerjee, A. Bhimireddy, J. L. Burns +19 more
2021The Lancet Digital Health553 citations Open access
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Do as AI say: susceptibility in deployment of clinical decision-aids
S. Gaube, H. Suresh, M. Raue, Alexander L. Merritt +6 more
2021npj Digital Medicine532 citations Open access
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CheXclusion: Fairness gaps in deep chest X-ray classifiers
L. Seyyed-Kalantari, Guan-Xiong Liu, Matthew B. A. McDermott, Irene Y. Chen +1 more
2020Pacific Symposium on Biocomputing398 citations Open access
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Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, S. Sankaranarayanan, Hamid Palangi, Yoon Kim +1 more
2022Neural Information Processing Systems363 citations Open access
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Challenges to the Reproducibility of Machine Learning Models in Health Care
Andrew Beam, Arjun K. Manrai, Marzyeh Ghassemi
2020Journal of the American Medical Association (JAMA)355 citations Open access
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Reproducibility in Machine Learning and Healthcare: How far do we have to go?
Matthew B. A. McDermott, Shirly Wang, N. Marinsek, R. Ranganath +2 more
2021Science Translational Medicine260 citations
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The role of machine learning in clinical research: transforming the future of evidence generation
E. Weissler, Tristan Naumann, T. Andersson, R. Ranganath +17 more
2021Trials248 citations Open access
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A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
V. Sounderajah, H. Ashrafian, S. Rose, N. Shah +36 more
2021Nature Medicine242 citations Open access
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The medical algorithmic audit.
Xiao-Xuan Liu, Ben Glocker, Melissa Mccradden, Marzyeh Ghassemi +2 more
2022The Lancet Digital Health195 citations Open access
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If Influence Functions are the Answer, Then What is the Question?
Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi +1 more
2022Neural Information Processing Systems191 citations Open access
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Treating health disparities with artificial intelligence
Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi
2020Nature Medicine183 citations
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Change is Hard: A Closer Look at Subpopulation Shift
Yu-Zhe Yang, Haoran Zhang, D. Katabi, Marzyeh Ghassemi
2023International Conference on Machine Learning173 citations Open access
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SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
2020Conference on Empirical Methods in Natural Language Processing164 citations Open access
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TP53-mediated clonal hematopoiesis confers increased risk for incident atherosclerotic disease
S. Zekavat, Vanesa Viana-Huete, N. Matesanz, Saman Doroodgar Jorshery +27 more
2023Nature Cardiovascular Research130 citations Open access
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Implementing machine learning in medicine
A. Verma, Joshua Murray, R. Greiner, Joseph Paul Cohen +5 more
2021Canadian Medical Association Journal129 citations Open access
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The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan, Haoran Zhang, K. Hamidieh, Thomas Hartvigsen +2 more
2022Conference on Fairness, Accountability and Transparency111 citations Open access
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Improving the Fairness of Chest X-ray Classifiers
Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner +2 more
2022ACM Conference on Health, Inference, and Learning110 citations Open access
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What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask
I. Kohane, B. Aronow, P. Avillach, Brett K. Beaulieu-Jones +37 more
2021Journal of Medical Internet Research103 citations Open access
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ARTIFICIAL INTELLIGENCE IN GASTROENTEROLOGY AND HEPATOLOGY: HOW TO ADVANCE CLINICAL PRACTICE WHILE ENSURING HEALTH EQUITY
Eugenia Uche-Anya, A. Anyane-Yeboa, T. Berzin, Marzyeh Ghassemi +1 more
2022Gut102 citations Open access
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Considering Biased Data as Informative Artifacts in AI-Assisted Health Care.
K. Ferryman, Maxine Mackintosh, Marzyeh Ghassemi
2023New England Journal of Medicine100 citations
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Self-Supervised Contrastive Learning of Protein Representations By Mutual Information Maximization
Amy X. Lu, H. Zhang, Marzyeh Ghassemi, Alan M. Moses
2020bioRxiv97 citations Open access
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Equity in essence: a call for operationalising fairness in machine learning for healthcare
Judy Wawira Gichoya, L. McCoy, L. Celi, Marzyeh Ghassemi
2021BMJ Health & Care Informatics93 citations Open access
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Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
S. Gaube, H. Suresh, M. Raue, E. Lermer +9 more
2023Scientific Reports90 citations Open access
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Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Johannes Palmer, J. Alderman, M. Calvert +24 more
2022Nature Medicine86 citations Open access
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An empirical framework for domain generalization in clinical settings
Haoran Zhang, Natalie Dullerud, L. Seyyed-Kalantari, Q. Morris +2 more
2021ACM Conference on Health, Inference, and Learning79 citations Open access
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Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area
A. Verma, T. Hora, H. Y. Jung, M. Fralick +14 more
2021Canadian Medical Association Journal74 citations Open access
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Problems in the deployment of machine-learned models in health care
Joseph Paul Cohen, Tianshi Cao, J. Viviano, Chin-Wei Huang +5 more
2021Canadian Medical Association Journal72 citations Open access
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Mitigating the impact of biased artificial intelligence in emergency decision-making
Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia +1 more
2022Communications Medicine71 citations Open access
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Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness
Victoria Cheng, Vinith M. Suriyakumar, Natalie Dullerud, Shalmali Joshi +1 more
2021Conference on Fairness, Accountability and Transparency63 citations Open access
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A comprehensive EHR timeseries pre-training benchmark
Matthew B. A. McDermott, Bret A. Nestor, Evan Kim, Wan-Cong Zhang +3 more
2021ACM Conference on Health, Inference, and Learning59 citations Open access
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Medical Dead-ends and Learning to Identify High-risk States and Treatments
Mehdi Fatemi, Taylor W. Killian, J. Subramanian, Marzyeh Ghassemi
2021Neural Information Processing Systems52 citations
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"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
2022International Conference on Machine Learning44 citations Open access
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Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations
Hammaad Adam, Ming-Ying Yang, K. Cato, Ioana Baldini +5 more
2022AAAI/ACM Conference on AI, Ethics, and Society44 citations Open access
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Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward
Anja Thieme, A. Nori, Marzyeh Ghassemi, Rishi Bommasani +2 more
2023CHI Extended Abstracts41 citations Open access
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Understanding the Variance Collapse of SVGD in High Dimensions
Jimmy Ba, Murat A. Erdogdu, Marzyeh Ghassemi, Sheng-Yang Sun +3 more
2022International Conference on Learning Representations39 citations
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CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output
Matthew B. A. McDermott, T. Hsu, Wei-Hung Weng, Marzyeh Ghassemi +1 more
2020Machine Learning in Health Care37 citations
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Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study
H. Brown, Sudipta Saha, Timothy C Y Chan, A. Cheung +11 more
2022Canadian Medical Association Journal32 citations Open access
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Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data
Aparna Balagopalan, David Madras, David H. Yang, Dylan Hadfield-Menell +2 more
2023Science Advances30 citations Open access
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Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit
Ming-Ying Yang, G. Kwak, T. Pollard, L. Celi +1 more
2023AAAI/ACM Conference on AI, Ethics, and Society30 citations Open access
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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
S. Pfohl, Haoran Zhang, Yi-Zhe Xu, Agata Foryciarz +2 more
2021Scientific Reports29 citations Open access
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In medicine, how do we machine learn anything real?
Marzyeh Ghassemi, E. Nsoesie
2022Patterns28 citations Open access
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Semi-Markov Offline Reinforcement Learning for Healthcare
Mehdi Fatemi, Mary Wu, Jeremy Petch, Walter Nelson +4 more
2022ACM Conference on Health, Inference, and Learning27 citations Open access
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In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Yuxin Xiao, S. Lim, T. Pollard, Marzyeh Ghassemi
2023Conference on Fairness, Accountability and Transparency26 citations Open access
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Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt +2 more
2021Neural Information Processing Systems26 citations
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Nailfold capillaroscopy and deep learning in diabetes
Reema Shah, Jeremy Petch, Walter Nelson, Karsten Roth +3 more
2023Journal of Diabetes24 citations Open access
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Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care
Marta M. Maslej, S. Kloiber, Marzyeh Ghassemi, Joanna Yu +1 more
2023Translational Psychiatry21 citations Open access
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