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

Adoption and Change Management of eHealth Systems (961) Viewpoints on and Experiences with Digital Technologies in Health (110) Decision Support for Health Professionals (1651) Machine Learning (2252)

Published on in Vol 10, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40039, first published .
Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Authors of this article:

Natasha Alexander1 Author Orcid Image ;   Catherine Aftandilian2 Author Orcid Image ;   Lin Lawrence Guo3 Author Orcid Image ;   Erin Plenert3 Author Orcid Image ;   Jose Posada4 Author Orcid Image ;   Jason Fries5 Author Orcid Image ;   Scott Fleming5 Author Orcid Image ;   Alistair Johnson3 Author Orcid Image ;   Nigam Shah5 Author Orcid Image ;   Lillian Sung1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

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  2. Wyatt K, Alexander N, Hills G, Liang W, Kadauke S, Volchenboum S, Mian A, Phillips C. Making sense of artificial intelligence and large language models—including ChatGPT—in pediatric hematology/oncology. Pediatric Blood & Cancer 2024;71(9) View
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  5. Gorski J, Rudloff J, Ramgopal S. Parental, Patient, and Provider Perspectives on the Use of Artificial Intelligence in Pediatric Care. Academic Pediatrics 2025;25(6):102819 View
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