I bought the Apple Watch Series 10 last fall because I’m a runner and I want the wearable to track all my health data while I train and rest. It’s not just about keeping tabs on my running stats or trying to shave a few minutes off my marathon time.
I went with the more expensive Apple Watch Series 10 instead of replacing my Apple Watch SE’s battery because I wanted the newer model’s more advanced health sensors. I’m at an age where I’m more conscious of my health, and I want tools like the Apple Watch to gather as many health metrics as possible.
When symptoms eventually show up, I’m hoping all the Apple Watch data in the Health app, combined with advanced AI tools, will provide early warnings so I can take immediate action. That long-term data might also help doctors by giving them years of health history to review.
There’s a missing piece in all this. The Apple Watch collects a massive amount of health data during training, rest, and sleep. But the current watchOS and iOS software can’t yet bring all those data points together and analyze them in one place.
I don’t want the Apple Watch to simply tell me that my heart rate is too high. I want to see how I trained, what I ate, how I slept, and then make a more informed judgment. Known medical conditions, medications, and other factors could help the Apple Watch explain its warnings better. It might even catch early signs of developing conditions sooner.
That might sound like wishful thinking for now, but Apple is already working on these kinds of AI features for the iPhone and Apple Watch. The company published a new study detailing an AI model that interprets overall well-being by analyzing a wide range of health data instead of just individual signals from the Watch's sensors.
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