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Thematic series: Explainable AI in Medical Informatics and Decision Support

BMC Medical Informatics and Decision Making is pleased to announce papers included as part of the thematic series "Explainable AI in Medical Informatics and Decision Support" are now being published.  With this collection, we  want to inspire cross-domain experts interested in artificial intelligence and machine learning to stimulate research on explainable AI.


  1. Authors: Angela Fagerlin, Margaret Holmes-Rovner, Timothy P. Hofer, David Rovner, Stewart C. Alexander, Sara J. Knight, Bruce S. Ling, James A.Tulsky, John T. Wei, Khaled Hafez, Valerie C. Kahn, Daniel Connochie, Jeffery Gingrich and Peter A. Ubel

    Content type: Research article

Aims and scope

BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.


  • Alison Cuff, BioMed Central

Assistant Editor

  • Catherine Rice, BioMed Central

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