I’ve been diving into how machine learning could help tailor rehab programs more effectively, especially for patients with chronic pain or mobility issues. There’s a ton of data out there gait analysis, progress tracking, even patient-reported feedback but I’m curious if anyone’s actually implemented ML tools in a clinical setting.
How’s it working for you? Any platforms or approaches you’d recommend? Also, how do patients respond to tech-driven adjustments versus traditional methods? Would love to hear your experiences or even pitfalls to watch for.
(And if anyone wants to nerd out about the psychology behind patient adherence in tech-assisted rehab, I’m all ears maybe over a cup of coffee!)