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. |
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| 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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| ISSN: | 1438-8871 |
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| DOI: | 10.2196/73028 |
