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

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Title: Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study.
Authors: Peebles E; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States., Finlay W; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; College of Engineering, Northeastern University, Boston, MA, United States., Nguyen TM; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States., Barrett S; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; College of Science, Northeastern University, Boston, MA, United States., Thirumalaraju P; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States., Kanakasabapathy MK; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States., Kandula H; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States., Sarcione C; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States., James KE; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States., Shafiee H; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States., Mahalingaiah S; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States.
Source: Journal of medical Internet research [J Med Internet Res] 2025 Aug 05; Vol. 27, pp. e73028. Date of Electronic Publication: 2025 Aug 05.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study.
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  Data: <searchLink fieldCode="AU" term="%22Peebles+E%22">Peebles E</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Finlay+W%22">Finlay W</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; College of Engineering, Northeastern University, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Nguyen+TM%22">Nguyen TM</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.<br /><searchLink fieldCode="AU" term="%22Barrett+S%22">Barrett S</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; College of Science, Northeastern University, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Thirumalaraju+P%22">Thirumalaraju P</searchLink>; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Kanakasabapathy+MK%22">Kanakasabapathy MK</searchLink>; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Kandula+H%22">Kandula H</searchLink>; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Sarcione+C%22">Sarcione C</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22James+KE%22">James KE</searchLink>; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Shafiee+H%22">Shafiee H</searchLink>; Department of Medicine, Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, United States.<br /><searchLink fieldCode="AU" term="%22Mahalingaiah+S%22">Mahalingaiah S</searchLink>; Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.; Department of Obstetrics & Gynecology, Massachusetts General Hospital, Boston, MA, United States.
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  Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2025 Aug 05; Vol. 27, pp. e73028. <i>Date of Electronic Publication: </i>2025 Aug 05.
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              Text: 2025 Aug 05
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