Okay, so, what's the catch? If the motivations behind this are as altruistic as they're made out to be, props to them. This is EXACTLY what applied healthcare

Okay, so, what's the catch? If the motivations behind this are as altruistic as they're made out to be, props to them. This is EXACTLY what applied healthcare AI researchers/developers need. Granted, $100K for just one year isn't enough runway for an end-to-end solution, but I suspect you could get enough of a ball rolling to pick up sponsors or investors. Most of the work that needs to be done in this space is NOT sexy. Building cool AI models is by far the easiest part of the pipeline, even considering the fact that data acquisition can be difficult. No one wants to get into the weeds of regulations, hospital protocols, EHR integrations, or HCI issues pertaining to medical providers. You don't get publications from sifting through this mess. So most researchers don't touch it. Additionally, the slow development cycles in healthcare tech are unattractive to many industry developers. There's a graveyard filled with failed startups and company initiatives that expected to jump into healthcare with their awesome tech only to get crushed by at least one of the multiple walls that shield the industry from innovation. I personally find myself caught between a rock and a hard place when it comes to healthcare + AI innovation. If I am being completely honest, I care more about building a useful product than publishing research papers, and I care more about improving patient care than making a bajillion dollars. This puts me in a weird spot in terms of choosing between an academic vs industry route. My current strategy is to find a way to take the healthcare innovation I want to do and repackage it as PhD research. I'd tots apply for this, assuming there's no massive catch. :)