Kohane, Isaac S.

Machine Learning in Medicine

Rajkomar, A., Dean, J., & Kohane, I. (2019) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 4,579

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 3,005

Artificial intelligence in healthcare

Yu, K.-H., Beam, A. L., & Kohane, I. S. (2018) · Nature Biomedical Engineering

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 2,817

Big Data and Machine Learning in Health Care

Beam, A. L., & Kohane, I. S. (2018) · JAMA

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,506

Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1

Patti, M. E., Butte, A. J., Crunkhorn, S., Cusi, K., Berria, R., Kashyap, S., Miyazaki, Y., Kohane, I., Costello, M., Saccone, R., et al. (2003) · Proceedings of the National Academy of Sciences

Metabolism, Diabetes, and CancerAdipose Tissue and Metabolism

Cited by 1,952

Gene regulation and DNA damage in the ageing human brain

Lu, T., Pan, Y., Kao, S.-Y., Li, C., Kohane, I., Chan, J., & Yankner, B. A. (2004) · Nature

Genetics, Aging, and Longevity in Model OrganismsDNA Repair Mechanisms

Cited by 1,874

A mega-analysis of genome-wide association studies for major depressive disorder

Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry

Genetic Associations and EpidemiologyBipolar Disorder and Treatment

Cited by 1,120

Adversarial attacks on medical machine learning

Finlayson, S. G., Bowers, J. D., Ito, J., Zittrain, J. L., Beam, A. L., & Kohane, I. S. (2019) · Science

Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education

Cited by 1,088

Safety of the BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Setting

Barda, N., Dagan, N., Ben-Shlomo, Y., Kepten, E., Waxman, J., Ohana, R., Hernán, M. A., Lipsitch, M., Kohane, I., Netzer, D., et al. (2021) · New England Journal of Medicine

SARS-CoV-2 and COVID-19 ResearchPharmacovigilance and Adverse Drug Reactions

Cited by 1,027

Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study

Barda, N., Dagan, N., Cohen, C., Hernán, M. A., Lipsitch, M., Kohane, I. S., Reis, B. Y., & Balicer, R. D. (2021) · The Lancet

SARS-CoV-2 and COVID-19 ResearchVaccine Coverage and Hesitancy

Cited by 860

The Clinician and Dataset Shift in Artificial Intelligence

Finlayson, S. G., Subbaswamy, A., Singh, K., Bowers, J., Kupke, A., Zittrain, J., Kohane, I. S., & Saria, S. (2021) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 855

SMART on FHIR: a standards-based, interoperable apps platform for electronic health records

Mandel, J. C., Kreda, D. A., Mandl, K. D., Kohane, I. S., & Ramoni, R. B. (2016) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 829

Genetic Misdiagnoses and the Potential for Health Disparities

Manrai, A. K., Funke, B. H., Rehm, H. L., Olesen, M. S., Maron, B. A., Szolovits, P., Margulies, D. M., Loscalzo, J., & Kohane, I. S. (2016) · New England Journal of Medicine

Genomics and Rare DiseasesCardiomyopathy and Myosin Studies

Cited by 808

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.

Norgeot, B., Quer, G., Beaulieu-Jones, B. K., Torkamani, A., Dias, R., Gianfrancesco, M., Arnaout, R., Kohane, I. S., Saria, S., Topol, E., et al. (2020) · Nature Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 665

Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study

Brat, G. A., Agniel, D., Beam, A., Yorkgitis, B., Bicket, M., Homer, M., Fox, K. P., Knecht, D. B., McMahill-Walraven, C. N., Palmer, N., et al. (2018) · BMJ

Opioid Use Disorder TreatmentPain Management and Opioid Use

Cited by 591

The Co-Morbidity Burden of Children and Young Adults with Autism Spectrum Disorders

Kohane, I. S., McMurry, A., Weber, G., MacFadden, D., Rappaport, L., Kunkel, L., Bickel, J., Wattanasin, N., Spence, S., Murphy, S., et al. (2012) · PLoS ONE

Autism Spectrum Disorder ResearchChild Nutrition and Feeding Issues

Cited by 562

Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks

Wolfe, C. J., Kohane, I. S., & Butte, A. J. (2005) · BMC Bioinformatics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 422

Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis

Doshi-Velez, F., Ge, Y., & Kohane, I. (2014) · Pediatrics

Autism Spectrum Disorder ResearchChild Nutrition and Feeding Issues

Cited by 412

Biases in electronic health record data due to processes within the healthcare system: retrospective observational study

Agniel, D., Kohane, I. S., & Weber, G. M. (2018) · BMJ

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 391

Effect of Genetic Diagnosis on Patients with Previously Undiagnosed Disease

Splinter, K., Adams, D. R., Bacino, C. A., Bellen, H. J., Bernstein, J. A., Cheatle-Jarvela, A. M., Eng, C. M., Esteves, C., Gahl, W. A., Hamid, R., et al. (2018) · New England Journal of Medicine

Genomics and Rare DiseasesMetabolism and Genetic Disorders

Cited by 359

Using electronic health records to drive discovery in disease genomics

Kohane, I. S. (2011) · Nature Reviews Genetics

Electronic Health Records SystemsGenetic Associations and Epidemiology

Cited by 325

Effectiveness of the BNT162b2 mRNA COVID-19 vaccine in pregnancy

Dagan, N., Barda, N., Biron-Shental, T., Makov-Assif, M., Key, C., Kohane, I. S., Hernán, M. A., Lipsitch, M., Hernandez-Diaz, S., Reis, B. Y., et al. (2021) · Nature Medicine

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Impact on Reproduction

Cited by 312

Artificial Intelligence in Medicine

Beam, A. L., Drazen, J. M., Kohane, I. S., Leong, T.-Y., Manrai, A. K., & Rubin, E. J. (2023) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 303

Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

Mullins, N., Kang, J., Campos, A. I., Coleman, J. R. I., Edwards, A. C., Galfalvy, H., Levey, D. F., Lori, A., Shabalin, A., Starnawska, A., et al. (2022) · Biological Psychiatry

Suicide and Self-Harm StudiesGenetic Associations and Epidemiology

Cited by 238