AI in preventive medicine
Lindera interviewed me about the practical role of AI in preventive medicine while I was working at the intersection of clinical product development, motion analysis, and digital health. The useful part of that conversation was not AI as a slogan, but the question of where measurement can improve care before a situation becomes acute.
What the appearance makes visible
- Movement data can become a clinical signal when it is collected and interpreted carefully.
- Preventive medicine depends on workflows that clinicians and patients can actually use.
- AI in healthcare is strongest when it supports judgment instead of replacing the human context around care.
Why it belongs here
This is one of the clearer public examples of the thread that still runs through my work: turn technical analysis into something operationally useful.
