| Adversarial attacks on medical machine learning SG Finlayson, JD Bowers, J Ito, JL Zittrain, AL Beam, IS Kohane Science 363 (6433), 1287-1289, 2019 | 1284 | 2019 |
| The clinician and dataset shift in artificial intelligence SG Finlayson, A Subbaswamy, K Singh, J Bowers, A Kupke, J Zittrain, ... New England Journal of Medicine 385 (3), 283-286, 2021 | 706 | 2021 |
| Adversarial Attacks Against Medical Deep Learning Systems SG Finlayson, IS Kohane, AL Beam arXiv preprint arXiv:1804.05296, 2018 | 342 | 2018 |
| Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art R Harpaz, A Callahan, S Tamang, Y Low, D Odgers, S Finlayson, K Jung, ... Drug Safety 37 (10), 777-790, 2014 | 296 | 2014 |
| Subgraph neural networks E Alsentzer, SG Finlayson, MM Li, M Zitnik Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 215 | 2020 |
| Examining the Use of Real‐World Evidence in the Regulatory Process BK Beaulieu‐Jones, SG Finlayson, W Yuan, RB Altman, IS Kohane, ... Clinical Pharmacology & Therapeutics, 2019 | 202 | 2019 |
| Code-free deep learning for multi-modality medical image classification E Korot, Z Guan, D Ferraz, SK Wagner, G Zhang, X Liu, L Faes, ... Nature Machine Intelligence 3 (4), 288-298, 2021 | 194 | 2021 |
| The diagnostic and triage accuracy of the GPT-3 artificial intelligence model DM Levine, R Tuwani, B Kompa, A Varma, SG Finlayson, A Mehrotra, ... MedRxiv, 2023 | 117 | 2023 |
| Building the graph of medicine from millions of clinical narratives SG Finlayson, P LePendu, NH Shah Scientific Data 1, 2014 | 116 | 2014 |
| Systemic nature of spinal muscular atrophy revealed by studying insurance claims SL Lipnick, DM Agniel, R Aggarwal, NR Makhortova, SG Finlayson, ... PLoS One 14 (3), e0213680, 2019 | 88 | 2019 |
| Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019 | 81 | 2019 |
| Privacy-preserving distributed deep learning for clinical data BK Beaulieu-Jones, W Yuan, SG Finlayson, ZS Wu NeurIPS Machine Learning for Healthcare Workshop 2018, 2018 | 69 | 2018 |
| The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study DM Levine, R Tuwani, B Kompa, A Varma, SG Finlayson, A Mehrotra, ... The Lancet Digital Health 6 (8), e555-e561, 2024 | 61 | 2024 |
| Automatic categorization and scoring of solid, part-solid and non-solid pulmonary nodules in CT images with convolutional neural network X Tu, M Xie, J Gao, Z Ma, D Chen, Q Wang, SG Finlayson, Y Ou, ... Scientific reports 7 (1), 8533, 2017 | 51 | 2017 |
| Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort T Gurry, HSTM Consortium, SM Gibbons, SM Kearney, ... Scientific Reports 8 (1), 12699, 2018 | 49 | 2018 |
| The diagnostic and triage accuracy of the GPT-3 artificial intelligence model. medRxiv DM Levine, R Tuwani, B Kompa, A Varma, SG Finlayson, A Mehrotra, ... Published online February 1 (2023), 10.1101, 2023 | 31 | 2023 |
| Detecting unplanned care from clinician notes in electronic health records S Tamang, MI Patel, DW Blayney, J Kuznetsov, SG Finlayson, Y Vetteth, ... Journal of Oncology Practice 11 (3), e313-e319, 2015 | 31 | 2015 |
| Machine learning and statistics in clinical research articles—moving past the false dichotomy SG Finlayson, AL Beam, M Van Smeden JAMA pediatrics 177 (5), 448-450, 2023 | 28 | 2023 |
| Toward rapid learning in cancer treatment selection: An analytical engine for practice-based evidence SG Finlayson, M Levy, S Reddy, DL Rubin Journal of biomedical informatics 60, 104-113, 2016 | 28 | 2016 |
| Towards generative adversarial networks as a new paradigm for radiology education SG Finlayson, H Lee, IS Kohane, L Oakden-Rayner NeurIPS Machine Learning for Healthcare Workshop 2018, 2018 | 25 | 2018 |
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalVerified email at hms.harvard.edu
