Development, optimization, and preliminary evaluation of a novel artificial intelligence tool to promote patient health literacy in radiology reports: The Rads-Lit tool

• Rushabh H. Doshi ,

  Roles Conceptualization, Data curation, Investigation, Writing – original draft

  * E-mail: r.doshi@yale.edu

  Affiliation Yale School of Medicine, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0002-2692-8195

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• Kanhai Amin ,

  Roles Conceptualization, Data curation, Writing – original draft

  ¶☯ equal contribution, co-first authors

  Affiliation Yale College, New Haven, Connecticut, United States of America

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• Shin Mei Chan,

  Roles Formal analysis

  Affiliation UCSF Department of Radiology & Biomedical Imaging, San Francisco, California, United States of America

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• Manroop Kaur,

  Roles Formal analysis

  Affiliation Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, United States of America

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• Simar S. Bajaj,

  Roles Writing – review & editing

  Affiliation Harvard College, Cambridge, Massachusetts, United States of America

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• Pavan Khosla,

  Roles Software

  Affiliation Yale School of Medicine, New Haven, Connecticut, United States of America

  https://orcid.org/0000-0002-6966-6084

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• Veer T. Kothari,

  Roles Formal analysis, Software

  Affiliation Yale School of Medicine, New Haven, Connecticut, United States of America

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• Ali Mozayan,

  Roles Formal analysis

  Affiliation Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, United States of America

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• Irena Tocino,

  Roles Formal analysis

  Affiliation Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, United States of America

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• Sophie Chheang

  Roles Conceptualization, Investigation, Supervision

  Affiliation Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, United States of America

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