Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)

This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone \[LH\], pregnanediol glucuronide \[PDG\], and basal body temperature \[BBT\]) to determine which are most reliable for identifying ovulation and luteal phase length. Thirty existing Premom App users will track daily observations for three menstrual cycles. Participants will record mucus, perform urine tests, upload test strip photos to the Premom App, and measure BBT. Both participant readings and AI-assisted app readings will be analyzed. The main goal is to find which marker pairings give the most accurate picture of ovulation timing and luteal phase length. Secondary goals include understanding ease of use, the number of tests required, and whether the app improves accuracy.

NCT Number	NCT07248046
Lead Sponsor	Bruyère Health Research Institute.
Conditions	Fertility, Mobile Applications, Artifical Intelligence, Cervical Mucus, Body Temperature, Luteinizing Hormone (LH), Ovulation, Menstrual Cycle +1 more
Enrollment	30 participants
Start Date	2026-01-15
Primary Completion	2026-09-15 (estimated)
Study Completion	2026-12-15 (estimated)
Updated on ClinicalTrials.gov	2026-07-27