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Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54798, first published .
Woman with hand on chest, experiencing chest pain, with heart graphic on phone

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

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
  4. Sun J, Wang Y, Hu S, Ding Y, Pu C, Song D, Xia J, Shan C. The Effects of Digital Health Interventions on Breastfeeding Rates, Self Efficacy, and Knowledge: A Systematic Review and Meta-Analysis (Preprint). Journal of Medical Internet Research 2026 View