DiscoverThe Journal of Human Lactation PodcastEp. 6: Two Articles on Nipple Trauma - Comparing Moisturizing Therapies and Deep Learning Evaluation System
Ep. 6: Two Articles on Nipple Trauma - Comparing Moisturizing Therapies and Deep Learning Evaluation System

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

Update: 2025-02-14
Share

Description

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 Pain


Full bios for all authors of the study available at ⁠⁠⁠JHL’s podcast page⁠⁠


Episode 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 Learning

Systematic Review on the Efficacy of Moisturizing Therapy in Treating Nipple Trauma and Nipple Pain


Nakamura M, Sugimori H, Ebina Y. Development of Nipple Trauma Evaluation System With Deep Learning. Journal of Human Lactation. 2024;0(0). doi:10.1177/08903344241303867


Nakamura 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:10.1177/08903344241301401


Join 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!


Comments 
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

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

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

JHL