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

Pediatrics (139) Digital Pain Assessment and Management (170) Pain in Children and Adolescents (41) mHealth for Data Collection and Research (981) Postoperative Pain Management (29) Formative Evaluation of Digital Health Interventions (2491) Artificial Intelligence (1421) Postoperative Monitoring and Telemonitoring (128)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64669, first published .
Parental Assessment of Postsurgical Pain in Infants at Home Using Artificial Intelligence–Enabled and Observer-Based Tools: Construct Validity and Clinical Utility Evaluation Study

Parental Assessment of Postsurgical Pain in Infants at Home Using Artificial Intelligence–Enabled and Observer-Based Tools: Construct Validity and Clinical Utility Evaluation Study

Parental Assessment of Postsurgical Pain in Infants at Home Using Artificial Intelligence–Enabled and Observer-Based Tools: Construct Validity and Clinical Utility Evaluation Study

Authors of this article:

Fatos Sada1 Author Orcid Image ;   Paola Chivers2, 3, 4 Author Orcid Image ;   Sokol Cecelia1, 5 Author Orcid Image ;   Sejdi Statovci6, 7 Author Orcid Image ;   Kujtim Ukperaj7 Author Orcid Image ;   Jeffery Hughes8 Author Orcid Image ;   Kreshnik Hoti1 Author Orcid Image
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