Ep. 6: Two Articles on Nipple Trauma - Comparing Moisturizing Therapies and Deep Learning Evaluation System  episode artwork

EPISODE · Feb 14, 2025 · 22 MIN

Ep. 6: Two Articles on Nipple Trauma - Comparing Moisturizing Therapies and Deep Learning Evaluation System

from The Journal of Human Lactation Podcast · host JHL

Two Articles on Nipple Trauma - Comparing Moisturizing Therapies + Deep Learning Evaluation System Authors: Authors on both articles include: Maya Nakamura, MA, and Yasuhiko Ebina, PhD With Hiroyuki Sugimori, PhD being a co-author on Development of Nipple Trauma Evaluation using Deep Learning and Yunjie Luo, PhD co-authoring Systematic Review on the Efficacy of Moisturizing Therapy in Treating Nipple Trauma and Nipple PainFull bios for all authors of the study available at ⁠⁠⁠JHL’s podcast page⁠⁠Episode Summary:Nipple trauma is a common yet often overlooked challenge in breastfeeding. This episode reviews two articles on the topic in our forthcoming JHL volume 41. We delve into how AI is being used to classify nipple injuries as well as a systematic review evaluating the effectiveness of various moisturizing treatments in promoting nipple healing.AI and Nipple Trauma Diagnosis Researchers developed a deep-learning model to assess nipple trauma from breastfeeding photos. While AI showed potential in classification, it shined particularly in evaluating more sever trauma and should be used alongside clinical evaluations, not as a replacement.Moisturizing Treatments for Nipple Healing A systematic review of 24 studies comparing high moisturization, medium moisturization, and low moisturization therapies with outcomes varying on what is most effective when healing nipple trauma. More research is needed to determine the best long-term treatment strategies.This episode offers valuable insights for healthcare providers, lactation consultants, and breastfeeding parents. Tune in to stay informed about the latest advancements, and read the full studies open-access for the next six weeks on JHL online.Links to the articles: ⁠Development of Nipple Trauma Evaluation using Deep LearningSystematic Review on the Efficacy of Moisturizing Therapy in Treating Nipple Trauma and Nipple PainNakamura M, Sugimori H, Ebina Y. Development of Nipple Trauma Evaluation System With Deep Learning. Journal of Human Lactation. 2024;0(0). doi:10.1177/08903344241303867Nakamura M, Luo Y, Ebina Y. Systematic Review on the Efficacy of Moisturizing Therapy in Treating Nipple Trauma and Nipple Pain. Journal of Human Lactation. 2024;0(0). doi:10.1177/08903344241301401Join the Conversation: Connect with us on social media at Facebook⁠ ⁠⁠⁠@JournalofHumanLactation⁠⁠⁠⁠; Instagram⁠ ⁠⁠⁠@journalofhumanlactation⁠⁠⁠⁠ and X⁠ ⁠⁠⁠@JHL_Lactation⁠⁠⁠⁠ If you enjoyed this episode, please subscribe, rate, and review us on your favorite podcast platform. Your support helps us continue to bring you the latest in lactation research. Don't forget to follow us on social media for updates and join our community of passionate lactation researchers and advocates!

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Ep. 6: Two Articles on Nipple Trauma - Comparing Moisturizing Therapies and Deep Learning Evaluation System

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Two Articles on Nipple Trauma - Comparing Moisturizing Therapies + Deep Learning Evaluation System Authors: Authors on both articles include: Maya Nakamura, MA, and Yasuhiko Ebina, PhD With Hiroyuki Sugimori, PhD being a co-author on Development of...

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