Kenneth D. Mandl on Muck Rack

Kenneth D. Mandl

Boston
As seen in: Nature, PLOS Medicine, JAMA (The Journal of the American Medical Association), JAMA: Journal of the American Medical Association, The Boston Globe, Medscape, Science Magazine, The New England Journal of Medicine, STAT, The Lancet and
Dir, Computational Health Informatics Program @Bos_CHIP | Harvard Med Prof & MD | Nat Acad Med Leadership Council & Co-Chair Digital Health Action Collab #AI
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Articles

Representation learning to advance multi-institutional studies with electronic health record data from US and France

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By Doudou Zhou, Linshanshan Wang, Suqi Liu, Xin Xiong, Griffier Romain, Boris P Hejblum, Yun-Chung Liu, Chuan Hong, Clara-Lea Bonzel, Tianrun Cai, Kevin Pan, Yuk-Lam Ho, LAUREN COSTA, J. Michael Gaziano, Kenneth D. Mandl, Vianney Jouhet, Rodolphe Thiébaut, Zongqi Xia, Kelly Kasulis Cho, Katherine P Liao, Tianxi Cai, Ziming Gan, Vidul A. Panickan
| Nature
Abstract The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data across privacy-siloed institutions and substantial heterogeneity in local coding practices. While privacy-preserving collaborative learning allows institutions to work together without sharing patient-level data, it does not address inconsistencies in how clinical concepts are represented across sites.
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How AI Could Reshape Health Care

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By Kenneth D. Mandl, Biomedical Informatics
| JAMA: Journal of the American Medical Association
How AI Could Reshape Health Care—Rise in Direct-to-Consumer Models A time may be approaching when wise patients demand artificial intelligence (AI)–informed care as a standard of quality. How this expectation will be met remains unclear; indeed, AI may put the health system at a crossroads.
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Unseen Commercial Forces Could Undermine Artificial Intelligence Decision Support

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By Kenneth D. Mandl
| The New England Journal of Medicine
For permission requests, please contact NEJM Reprints at reprints@nejm.org Notes Supported by an award from the ARPA-H Biomedical Data Fabric Toolbox and The National Center for Advancing Translational Sciences/National Institutes of Health Cooperative Agreement, U01TR002623. The sponsors had no role in the preparation, review, or approval of the article, nor in the decision to submit it for publication. Disclosure forms provided by the authors are available with the full text of this article.
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