In a groundbreaking discovery, a new Apple-backed AI-led study has demonstrated that pregnant women can accurately identify early signs of pregnancy up to 92% using smartwatches and iPhones. The research is based on a newly developed machine-learning model-the Wearable Behaviour Model (WBM). That seeks to find subtle physiological and behavioural changes through Apple Watches and iPhone data. Can AI-Powered Smartwatches Detect Pregnancy? Experts Revealed.
The WBM model harvests continuous streams of data, such as heart rate, sleep variables, temperature changes. And activity level of individual wearers. The rug is then pulled from under the data by searching for any microscopic variability in the bodily changes of a woman. That generally takes place during the early weeks of pregnancy, possibly before the onset of classical symptoms.
Unlike pregnancy tests based on hormone detection only after implantation, this AI model starts capturing changes that may precede symptoms, thus giving it a window for possibly earlier detection.
Backing of Data and Accuracy
The research involving thousands of cases has shown that the AI model accurately detected pregnancies in 92 out of every 100 cases. Making it one of the promising non-invasive early detection methods that exist today. It must also be noted that the study shows that consumer technologies considered mere fitness trackers. They are rapidly evolving as health monitoring tools.
Caution and Future Implications
Such promising results aside, this AI detection tool will not yet replace the medical confirmation. However, it further opens avenues for the future innovations of digital reproductive health that potentially will pave the ways for timely awareness and personalized healthcare support.
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Leisure or Digital Wellness
AI and wearables are poised toward real-time diagnostics. The present study births a new era in how we think about and manage reproductive health-from the comfort of our wrists.