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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40763349 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study. – Name: Author Label: Authors Group: Au 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. – Name: TitleSource Label: Source Group: Src 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. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>100959882 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-8871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214388871%22">14388871 </searchLink><i>NLM ISO Abbreviation: </i>J Med Internet Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40763349 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/73028 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e73028 Titles: – TitleFull: Digitally Enabled AI-Interpreted Salivary Ferning-Based Ovulation Prediction: Feasibility Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Peebles E – PersonEntity: Name: NameFull: Finlay W – PersonEntity: Name: NameFull: Nguyen TM – PersonEntity: Name: NameFull: Barrett S – PersonEntity: Name: NameFull: Thirumalaraju P – PersonEntity: Name: NameFull: Kanakasabapathy MK – PersonEntity: Name: NameFull: Kandula H – PersonEntity: Name: NameFull: Sarcione C – PersonEntity: Name: NameFull: James KE – PersonEntity: Name: NameFull: Shafiee H – PersonEntity: Name: NameFull: Mahalingaiah S IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 08 Text: 2025 Aug 05 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1438-8871 Numbering: – Type: volume Value: 27 Titles: – TitleFull: Journal of medical Internet research Type: main |
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