Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study
Conclusions: Our contributions highlight the impact of artificial intelligence and machine learning’s integration into health care. By monitoring numerous physiological parameters simultaneously, wearable technology uniquely improves upon retrospective methods for fertility awareness and enables the first real-time predictive model of ovulation.
Source: Journal of Medical Internet Research - Category: General Medicine Authors: Brianna Mae Goodale Mohaned Shilaih Lisa Falco Franziska Dammeier Gy örgyi Hamvas Brigitte Leeners Source Type: research
More News: Cardiology | General Medicine | Health Management | Heart | Heart Transplant | Hormones | Internet | Laboratory Medicine | Learning | Men | Perfusion | Physiology | Pregnancy | Reproduction Medicine | Respiratory Medicine | Skin | Study | Switzerland Health | Universities & Medical Training | Women