Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible

• Tyler J. Loftus ,

  Contributed equally to this work with: Tyler J. Loftus, Parisa Rashidi, Azra Bihorac

  Affiliations Department of Surgery, University of Florida Health, Gainesville, Florida, United States of America, Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America

  https://orcid.org/0000-0001-5354-443X

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• Patrick J. Tighe,

  Affiliation Departments of Anesthesiology, Orthopedics, and Information Systems/Operations Management, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-1881-9941

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• Tezcan Ozrazgat-Baslanti,

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-1158-9928

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• John P. Davis,

  Affiliation Department of Surgery, University of Virginia, Charlottesville, Virginia, United States of America

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• Matthew M. Ruppert,

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0001-9757-4454

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• Yuanfang Ren,

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-4716-2408

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• Benjamin Shickel,

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-5304-7027

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• Rishikesan Kamaleswaran,

  Affiliation Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, United States of America

  https://orcid.org/0000-0001-8366-4811

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• William R. Hogan,

  Affiliation Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-9881-1017

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• J. Randall Moorman,

  Affiliation Department of Medicine, University of Virginia, Charlottesville, Virginia, United States of America

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• Gilbert R. Upchurch Jr,

  Affiliation Department of Surgery, University of Florida Health, Gainesville, Florida, United States of America

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• Parisa Rashidi ,

  Contributed equally to this work with: Tyler J. Loftus, Parisa Rashidi, Azra Bihorac

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Departments of Biomedical Engineering, Computer and Information Science and Engineering, and Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States of America

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• Azra Bihorac

  Contributed equally to this work with: Tyler J. Loftus, Parisa Rashidi, Azra Bihorac

  * E-mail: abihorac@ufl.edu

  Affiliations Precision and Intelligent Systems in Medicine (PrismaP), University of Florida, Gainesville, Florida, United States of America, Department of Medicine, University of Florida Health, Gainesville, Florida, United States of America

  https://orcid.org/0000-0002-5745-2863

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