Atul J. Butte, MD, PhD
Affiliations: | Stanford Center for Biomedical Informatics, Department of Medicine and Department of Pediatrics | Stanford University School of Medicine, Palo Alto, CA, United States | |
| Bakar Computational Health Sciences Institute | University of California, San Francisco, San Francisco, CA |
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"Atul Butte"Children
Sign in to add trainee| Purvesh Khatri | grad student | UCSF (Computer Science Tree) | |
| Joel Dudley | grad student | 2007-2011 | Stanford Medical School |
| Benjamin S Glicksberg | post-doc | 2017-2019 | UCSF |
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Publications
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| Goldberg CB, Adams L, Blumenthal D, et al. (2024) To do no harm - and the most good - with AI in health care. Nature Medicine |
| Zack T, Lehman E, Suzgun M, et al. (2023) Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study. The Lancet. Digital Health. 6: e12-e22 |
| Yeung AWK, Torkamani A, Butte AJ, et al. (2023) The promise of digital healthcare technologies. Frontiers in Public Health. 11: 1196596 |
| Rudrapatna VA, Glicksberg BS, Butte AJ. (2021) Utility of routinely collected electronic health records data to support effectiveness evaluations in inflammatory bowel disease: a pilot study of tofacitinib. Bmj Health & Care Informatics. 28 |
| Madhavan S, Bastarache L, Brown JS, et al. (2020) Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. Journal of the American Medical Informatics Association : Jamia |
| Norgeot B, Quer G, Beaulieu-Jones BK, et al. (2020) Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist. Nature Medicine. 26: 1320-1324 |
| Hu Z, Tang A, Singh J, et al. (2020) A robust and interpretable end-to-end deep learning model for cytometry data. Proceedings of the National Academy of Sciences of the United States of America |
| Norgeot B, Muenzen K, Peterson TA, et al. (2020) Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes. Npj Digital Medicine. 3: 57 |
| Rudrapatna VA, Glicksberg BS, Avila P, et al. (2020) Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates. Bmj Open Quality. 9 |
| Rudrapatna VA, Butte AJ. (2020) Opportunities and challenges in using real-world data for health care. The Journal of Clinical Investigation. 130: 565-574 |