The diagnostic accuracy of wearable digital technology in detecting fertility window and menstrual cycles: a systematic review and Bayesian network meta-analysis

Shi et al. · 2026 · npj Digital Medicine 9(1):139

What this work gives Aellic

Network meta-analysis of wearable-based ovulation detection: exact-day accuracy pooled across devices is 0.56, and only ~68 % land within ±1 day. This is the justification for Aellic ALWAYS shipping the estimated ovulation with a confidence band and never presenting it as “measured”.

Where this sits in the engine

1 declared site: constants and thresholds in the code that point at this entry.

Cycle Phases and cycle-aware baselines 1 site

Also in Cycle

2020 The Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women: A Systematic Review and Meta-Analysis
2019 A Systematic Review and Meta-Analysis of Within-Person Changes in Cardiac Vagal Activity across the Menstrual Cycle: Implications for Female Health and Future Studies
2023 Current evidence shows no influence of women's menstrual cycle phase on acute strength performance or adaptations to resistance exercise training

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