Andrew L. Beam
Andrew L. Beam
Assistant Professor, Harvard University
Verified email at - Homepage
Cited by
Cited by
Big data and machine learning in health care
AL Beam, IS Kohane
Jama 319 (13), 1317-1318, 2018
Artificial intelligence in healthcare
KH Yu, AL Beam, IS Kohane
Nature biomedical engineering 2 (10), 719-731, 2018
Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study
GA Brat, D Agniel, A Beam, B Yorkgitis, M Bicket, M Homer, KP Fox, ...
Bmj 360, 2018
Adversarial attacks on medical machine learning
SG Finlayson, JD Bowers, J Ito, JL Zittrain, AL Beam, IS Kohane
Science 363 (6433), 1287-1289, 2019
Zebrafish developmental screening of the ToxCast™ Phase I chemical library
S Padilla, D Corum, B Padnos, DL Hunter, A Beam, KA Houck, N Sipes, ...
Reproductive toxicology 33 (2), 174-187, 2012
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston
bmj 370, 2020
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert
bmj 370, 2020
Adversarial attacks against medical deep learning systems
SG Finlayson, HW Chung, IS Kohane, Beam, A.L.
arXiv preprint arXiv:1804.05296, 2018, 2019
Translating artificial intelligence into clinical care
AL Beam, IS Kohane
Jama 316 (22), 2368-2369, 2016
Clinical concept embeddings learned from massive sources of multimodal medical data
AL Beam, B Kompa, A Schmaltz, I Fried, G Weber, N Palmer, X Shi, T Cai, ...
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 2020, 191, 2020
Challenges to the reproducibility of machine learning models in health care
AL Beam, AK Manrai, M Ghassemi
Jama 323 (4), 305-306, 2020
Artificial intelligence in health care: the hope, the hype, the promise, the peril
M Matheny, ST Israni, M Ahmed, D Whicher
NAM Special Publication. Washington, DC: National Academy of Medicine, 154, 2019
Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction
ML Chen, A Doddi, J Royer, L Freschi, M Schito, M Ezewudo, IS Kohane, ...
EBioMedicine 43, 356-369, 2019
Xenobiotic-metabolizing enzyme and transporter gene expression in primary cultures of human hepatocytes modulated by ToxCast chemicals
DM Rotroff, AL Beam, DJ Dix, A Farmer, KM Freeman, KA Houck, ...
Journal of Toxicology and Environmental Health, Part B 13 (2-4), 329-346, 2010
Association of sex with recurrence of autism spectrum disorder among siblings
N Palmer, A Beam, D Agniel, A Eran, A Manrai, C Spettell, G Steinberg, ...
JAMA pediatrics 171 (11), 1107-1112, 2017
Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ...
The Lancet Digital Health, 2020
Practical guidance on artificial intelligence for health-care data
M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath
The Lancet Digital Health 1 (4), e157-e159, 2019
Auditory brainstem response in infants and children with autism spectrum disorder: A meta-analysis of wave V.
O Miron, AL Beam, IS Kohane
Autism research: official journal of the International Society for Autism …, 2017
Bayesian neural networks for detecting epistasis in genetic association studies
AL Beam, A Motsinger-Reif, J Doyle
BMC bioinformatics 15 (1), 1-12, 2014
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