Earlier quoted context omitted.
> these seem like pretty obvious application of machine learning algorithms, don't you think? Anecdotally, my impression is that most CPAP users are using APAPs at this point, like the very popular Resmed AirSense 10. Titration amounts to giving it a pretty wide range and letting the machine itself figure out the right pressure. It's not a complex learning algorithm, but seems to do the job.
I think APAP's are more about comfort and less about effectiveness, although making them more comfortable to use does make them more effective. The algorithm is more about detecting that you aren't asleep and thus don't need the full pressure at the moment and less about altering the target pressure setting on the fly. I could be wrong though, I use is a bipap which works a bit differently than CPAP or APAP.
To my understanding (no personal experience), Philips APAPs have a different algorithm to try and achieve the same goal, and are regarded as less aggressive about it than Resmed.
There's also a new Resmed Airsense 11 out but I don't know anything about it and what changed.
BiPAPs are definitely a different beast, for sure. My dad used one of those. Not automatic at all, right? Constant pressure, but different between inhale and exhale?