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

Foundations of AI (67) Telehealth and Telemonitoring (2231) Artificial Intelligence (2408) Applications of AI (363)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54798, first published .
Augmenting Telepostpartum Care With Vision-Based Detection of Breastfeeding-Related Conditions: Algorithm Development and Validation

Augmenting Telepostpartum Care With Vision-Based Detection of Breastfeeding-Related Conditions: Algorithm Development and Validation

Augmenting Telepostpartum Care With Vision-Based Detection of Breastfeeding-Related Conditions: Algorithm Development and Validation

Authors of this article:

Jessica De Souza1 Author Orcid Image ;   Varun Kumar Viswanath1 Author Orcid Image ;   Jessica Maria Echterhoff2 Author Orcid Image ;   Kristina Chamberlain3 Author Orcid Image ;   Edward Jay Wang1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Peterson A, Bou-Nehme C, Grace B. Digital innovation beyond mHealth: a systematic review of digital health technologies in women's health. The Lancet Obstetrics, Gynaecology, & Women's Health 2026;2(3):e249 View
  2. Tri Wijayanti Y, Martini , Yulyuswarni . Effectiveness of Aloe Vera–Menthol Combination Gel in Reducing Breast Engorgement and Pain among Postpartum Mothers: A Quasi-Experimental Study. Jurnal Ilmiah Kesehatan Sandi Husada 2026;15(1):142 View
  3. Golshan-Tafti M, Bahrami R, Jayervand F, Yeganegi M, Shiehbeiki S, Zanbagh L, Talebi H, Shahbazi A, Shiri A, Hajizadeh N, Neamatzadeh H. Artificial intelligence in human milk analysis: applications in prediction, optimization, and lactation support- a narrative review. Egyptian Pediatric Association Gazette 2026;74(1) View