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Where do we most need AI in healthcare?
To outline the most viable use cases for AI in healthcare today, we @a16z interviewed many of the largest healthcare orgs across the country.
Here are the 19 areas we prioritized: https://t.co/4BEz3lwGY9
Healthcare feels like a top 3 place to build over the next decade.
-- $4.5T US spend//20% of GDP --> huge market
-- up to 25% of the world's data is healthcare related --> huge data set --> big surface area to build
-- not available on the public internet --> not in foundational models -->... See more
Chad Byers 🦍x.comI’m increasingly convinced that AI value is going to accrue to companies that deliver services in healthcare. 3 specific places:
1) micro private equity that acquires companies and then injects AI into their operations. Traditional success in acquiring healthcare businesses has been around negotiating better rates,... See more
Nikhil Krishnanx.com
My team and I are so excited to be part of @ycombinator Fall Cohort working on the most important problem in the world - healthcare.
Our company, OpenClinic, helps doctors launch their own digital clinics that are 99% AI and 1% doctor. This unlocks millions of latent doctor hours worldwide, bridging the supply/demand... See more
I strongly agree with @sequoia here. Application layer is king for the AI revolution.
There is no doubt one of the — if not the — most valuable of such companies will be in *consumer* healthcare. Today that sounds like an oxymoron. Tomorrow it will just be known as healthcare. https://t.co/DNMzjZRtNK
Healthcare is experiencing the mother of all supply-demand mismatch crises - we’re short 100K+ doctors relative to demand projected in the next 5 years. One of the ways the system has tried to solve this is by stacking layers of *non-doctors* at the front lines to triage as much as possible _away_ from doctors and save our scarce doctor capacity... See more
Julie Yoox.com
This is the final warning for those considering careers as physicians: AI is becoming so advanced that the demand for human doctors will significantly decrease, especially in roles involving standard diagnostics and routine treatments, which will be increasingly replaced by AI.
This is underscored by the massive... See more