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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Obstetrics, Gynecology, and Reproductive Medicine (329) Artificial Intelligence (2129) mHealth for Data Collection and Research (1196) Evaluation and Research Methodology for mHealth (242)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73028, first published .
Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study

Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study

Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study

Authors of this article:

Elizabeth Peebles1, 2 Author Orcid Image ;   William Finlay1, 3 Author Orcid Image ;   Thao-Mi Nguyen1, 4 Author Orcid Image ;   Samuel Barrett1, 5 Author Orcid Image ;   Prudhvi Thirumalaraju6 Author Orcid Image ;   Manoj Kumar Kanakasabapathy6 Author Orcid Image ;   Hemanth Kandula6 Author Orcid Image ;   Carrie Sarcione1 Author Orcid Image ;   Kaitlyn E James2 Author Orcid Image ;   Hadi Shafiee6 Author Orcid Image ;   Shruthi Mahalingaiah1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Elizabeth Peebles   1, 2 , BA ;   William Finlay   1, 3 ;   Thao-Mi Nguyen   1, 4 , BS ;   Samuel Barrett   1, 5 ;   Prudhvi Thirumalaraju   6 , MS ;   Manoj Kumar Kanakasabapathy   6 , MTech ;   Hemanth Kandula   6 , MS ;   Carrie Sarcione   1 , MEd ;   Kaitlyn E James   2 , MPH, PhD ;   Hadi Shafiee   6 , MSc, PhD ;   Shruthi Mahalingaiah   1, 2 , MD, MS

1 Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States

2 Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States

3 College of Engineering, Northeastern University, Boston, MA, United States

4 Geisel School of Medicine, Dartmouth College, Hanover, NH, United States

5 College of Science, Northeastern University, Boston, MA, United States

6 Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States

Corresponding Author:

  • Elizabeth Peebles, BA
  • Department of Environmental Health
  • Harvard TH Chan School of Public Health
  • Harvard University
  • 665 Huntington Avenue
  • Boston, MA 02115
  • United States
  • Phone: 1 (617) 432-1270
  • Email: epeebles@hsph.harvard.edu