Kenneth David Mandl, MD

Kenneth Mandl, MD

Donald A.B. Lindberg Professor of Pediatrics, Boston Children’s Hospital
Director, Computational Health Informatics Program, Boston Children's Hospital
Professor of Biomedical Informatics, Harvard Medical School (Secondary)

Kenneth Mandl, whose clinical training and experience is in pediatrics and pediatric emergency medicine, is Director of the Boston Children’s Hospital Computational Health Informatics Program (CHIP). He was a founding member of the Center for Biomedical Informatics, where he has been the PI or Co-PI of several grant funded projects, including the transformative SMART Platforms initiative to design the "app store for health" and the Accessible Research Commons for Health (ARCH) across Boston hospitals and nationally. Mandl received his MD from Harvard Medical School, his MPH from the Harvard School of Public Health and his clinical training from BCH, where he also did back-to-back fellowships in Clinical Effectiveness and Medical Informatics.

Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records.
Authors: Felix C, Johnston JD, Owen K, Shirima E, Hinds SR, Mandl KD, Milinovich A, Alberts JL.
Digit Health
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Multisource representation learning for pediatric knowledge extraction from electronic health records.
Authors: Li M, Li X, Pan K, Geva A, Yang D, Sweet SM, Bonzel CL, Ayakulangara Panickan V, Xiong X, Mandl K, Cai T.
NPJ Digit Med
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Generative artificial intelligence in primary care: an online survey of UK general practitioners.
Authors: Blease CR, Locher C, Gaab J, Hägglund M, Mandl KD.
BMJ Health Care Inform
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Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.
Authors: McMurry AJ, Gottlieb DI, Miller TA, Jones JR, Atreja A, Crago J, Desai PM, Dixon BE, Garber M, Ignatov V, Kirchner LA, Payne PRO, Saldanha AJ, Shankar PRV, Solad YV, Sprouse EA, Terry M, Wilcox AB, Mandl KD.
J Am Med Inform Assoc
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Accuracy of ICD-10 codes for suicidal ideation and action in pediatric emergency department encounters.
Authors: Xu R, Bode L, Geva A, Mandl KD, McMurry AJ.
medRxiv
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Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort.
Authors: Kong SW, Lee IH, Collen LV, Manrai AK, Snapper SB, Mandl KD.
medRxiv
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Real world performance of the 21st Century Cures Act population-level application programming interface.
Authors: Jones JR, Gottlieb D, McMurry AJ, Atreja A, Desai PM, Dixon BE, Payne PRO, Saldanha AJ, Shankar P, Solad Y, Wilcox AB, Ali MS, Kang E, Martin AM, Sprouse E, Taylor DE, Terry M, Ignatov V, Mandl KD.
J Am Med Inform Assoc
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Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study.
Authors: McMurry AJ, Zipursky AR, Geva A, Olson KL, Jones JR, Ignatov V, Miller TA, Mandl KD.
J Med Internet Res
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Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface.
Authors: Phelan D, Gottlieb D, Mandel JC, Ignatov V, Jones J, Marquard B, Ellis A, Mandl KD.
J Am Med Inform Assoc
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GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma.
Authors: Voorhies K, Mohammed A, Chinthala L, Kong SW, Lee IH, Kho AT, McGeachie M, Mandl KD, Raby B, Hayes M, Davis RL, Wu AC, Lutz SM.
Genes (Basel)
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