Samuel G. Finlayson

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18 件の論文

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共著者

Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's Hospital確認したメールアドレス: hms.harvard.edu
Andrew L. BeamCTO FL97, Inc. | Associate Professor, Harvard University確認したメールアドレス: hms.harvard.edu
Jonathan ZittrainGeorge Bemis Prof. of Law, Prof. of Computer Science, and Prof. of Public Policy, Harvard University確認したメールアドレス: law.harvard.edu
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford University確認したメールアドレス: stanford.edu
Brett Beaulieu-JonesUniversity of Chicago確認したメールアドレス: uchicago.edu
Suzanne R. TamangStanford University School of Medicine確認したメールアドレス: stanford.edu
Joichi ItoPresident, Chiba Institute of Technology確認したメールアドレス: it-chiba.ac.jp
Paea LePenduUniversity of California, Riverside確認したメールアドレス: ucr.edu
Emily AlsentzerAssistant Professor, Stanford University確認したメールアドレス: stanford.edu
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics確認したメールアドレス: hms.harvard.edu
Adarsh SubbaswamyU.S. Food and Drug Administration確認したメールアドレス: fda.hhs.gov
Dr. Suchi SariaJohn C. Malone Endowed Chair; Computer Science, Statistics, Medicine, Health Policy, Johns Hopkins確認したメールアドレス: cs.jhu.edu
Michelle M. LiResearch Fellow, Harvard Medical School確認したメールアドレス: g.harvard.edu
Hyung Won ChungOpenAI確認したメールアドレス: google.com
Rave HarpazArchitect/Applied Scientist of AI - Oracle Cloud Infrastructure確認したメールアドレス: oracle.com
Alison CallahanStanford University確認したメールアドレス: stanford.edu
Yen Sia LowStanford University確認したメールアドレス: stanford.edu
Russ B AltmanProfessor Stanford University確認したメールアドレス: stanford.edu
Vinay Prasad, MD MPHProfessor, University of California San Francisco確認したメールアドレス: ucsf.edu
Kun-Hsing YuHarvard Medical School確認したメールアドレス: hms.harvard.edu

フォロー

Samuel G. Finlayson

MD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children's

確認したメールアドレス: seattlechildrens.org - ホームページ

Machine Learning Informatics Pediatrics Rare Disease


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Adversarial attacks on medical machine learning SG Finlayson, JD Bowers, J Ito, JL Zittrain, AL Beam, IS Kohane Science 363 (6433), 1287-1289, 2019	1020	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	516	2021
Adversarial Attacks Against Medical Deep Learning Systems SG Finlayson, IS Kohane, AL Beam arXiv preprint arXiv:1804.05296, 2018	296	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	276	2014
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	171	2019
Subgraph neural networks E Alsentzer, SG Finlayson, MM Li, M Zitnik Advances in Neural Information Processing Systems (NeurIPS 2020), 2020	162	2020
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	157	2021
Building the graph of medicine from millions of clinical narratives SG Finlayson, P LePendu, NH Shah Scientific Data 1, 2014	111	2014
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	82	2023
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	82	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	69	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	66	2018
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	53	2016
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	48	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	45	2018
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	28	2015
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
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	17	2023
Potential adverse effects of broad-spectrum antimicrobial exposure in the intensive care unit J Wiens, GM Snyder, SG Finlayson, MV Mahoney, LA Celi Open forum infectious diseases 5 (2), ofx270, 2018	16	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	15	2024

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