| TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024 | 1569 | 2024 |
| The false hope of current approaches to explainable artificial intelligence in health care M Ghassemi, L Oakden-Rayner, AL Beam The Lancet Digital Health 3 (11), e745-e750, 2021 | 1490 | 2021 |
| Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature medicine 25 (9), 1337-1340, 2019 | 1124 | 2019 |
| COVID-19 Image Data Collection: Prospective Predictions Are the Future JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi arXiv preprint arXiv:2006.11988, 2020 | 1039 | 2020 |
| Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations L Seyyed-Kalantari, H Zhang, M McDermott, IY Chen, M Ghassemi Nature medicine 27 (12), 2176-2182, 2021 | 892 | 2021 |
| Ethical machine learning in healthcare IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual Review of Biomedical Data Science 4, 123-144, 2021 | 737 | 2021 |
| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 709* | 2022 |
| A Review of Challenges and Opportunities in Machine Learning for Health M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath AMIA Summits on Translational Science Proceedings 191, 2020 | 680* | 2020 |
| Can AI help reduce disparities in general medical and mental health care? IY Chen, P Szolovits, M Ghassemi AMA journal of ethics 21 (2), 167-179, 2019 | 522 | 2019 |
| Do as AI say: susceptibility in deployment of clinical decision-aids S Gaube, H Suresh, M Raue, A Merritt, SJ Berkowitz, E Lermer, ... NPJ digital medicine 4 (1), 31, 2021 | 470 | 2021 |
| Mental-llm: Leveraging large language models for mental health prediction via online text data X Xu, B Yao, Y Dong, S Gabriel, H Yu, J Hendler, M Ghassemi, AK Dey, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 437 | 2024 |
| CheXclusion: Fairness gaps in deep chest X-ray classifiers L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, 232-243, 2020 | 428 | 2020 |
| Challenges to the reproducibility of machine learning models in health care AL Beam, AK Manrai, M Ghassemi Jama 323 (4), 305-306, 2020 | 419 | 2020 |
| Clinically accurate chest x-ray report generation G Liu, TMH Hsu, M McDermott, W Boag, WH Weng, P Szolovits, ... Machine Learning for Healthcare Conference, 249-269, 2019 | 389 | 2019 |
| The role of machine learning in clinical research: transforming the future of evidence generation EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ... Trials 22 (1), 537, 2021 | 385 | 2021 |
| Reproducibility in machine learning for health research: Still a ways to go MBA McDermott, S Wang, N Marinsek, R Ranganath, L Foschini, ... Science Translational Medicine 13 (586), eabb1655, 2021 | 375* | 2021 |
| Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 222-235, 2020 | 341 | 2020 |
| Clinical Intervention Prediction and Understanding with Deep Neural Networks H Suresh, N Hunt, A Johnson, LA Celi, P Szolovits, M Ghassemi Machine Learning for Healthcare Conference, 322-337, 2017 | 331* | 2017 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... bmj 388, 2025 | 325 | 2025 |
| Unfolding Physiological State: Mortality Modelling in Intensive Care Units M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ... KDD 2014, 2014 | 315 | 2014 |
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
