This paper is in the following e-collection/theme issue:

Quality/Credibility of eHealth Information and Trust Issues (485) Clinical Information and Decision Making (1314) Data Science (223) Artificial Intelligence (1186) Machine Learning (1370) Ethics, Privacy, and Legal Issues (456)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49314, first published .
A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis

A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis

A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis

Authors of this article:

Christian Rose1 Author Orcid Image ;   Rachel Barber2 Author Orcid Image ;   Carl Preiksaitis1 Author Orcid Image ;   Ireh Kim2 Author Orcid Image ;   Nikesh Mishra2 Author Orcid Image ;   Kristen Kayser1 Author Orcid Image ;   Italo Brown1 Author Orcid Image ;   Michael Gisondi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (10) Metrics

Journals

  1. Preiksaitis C, Ashenburg N, Bunney G, Chu A, Kabeer R, Riley F, Ribeira R, Rose C. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. JMIR Medical Informatics 2024;12:e53787 View
  2. Strehlow M, Gisondi M, Caretta‐Weyer H, Ankel F, Brackett A, Brar P, Chan T, Garabedian A, Gunn B, Isaacs E, von Isenburg M, Jarman A, Kuehl D, Limkakeng A, Lydston M, McGregor A, Pierce A, Raven M, Salhi R, Stave C, Tan J, Taylor R, Wong H, Yiadom M, Zachrison K, Vogel J. 2023 Society for Academic Emergency Medicine Consensus Conference on Precision Emergency Medicine: Development of a policy‐relevant, patient‐centered research agenda. Academic Emergency Medicine 2024 View