Raw LLM Responses

eh. posted this on r/medicine but here ya go too: As a lowly M4 going into DR who loves QI and Patient Safety research here's my uninformed, unasked for take: There are 3 main hurdles regarding the widespread adoption of AI into radiology. Hurdle 1: The development of the technology. This is YEARS away from being an issue. if AI can't read EKGs it sure as hell can't read CTs. "Oh Vinnyt16," say the tech bros "you don't understand what Lord Elon has done with self driving cars. You don't know how the AI is created using synaptically augmented super readers calibrated only for CT that nobody would ever dream of using for a 2D image that is ordered on millions of patients daily." Until you start seeing widespread AI use on ED EKG's WITH SOME DEGREE OF SUCCESS instead of the meme they are now, don't even worry about it. Hurdle 2: Implementation. As we all know, incorporating new PACS and EMR is a painless process with no errors whatsoever. Nobody's meds get "lost in the system" and there's no downtime or server crashes. And that is with systems with experts literally on stand-by to assist. It's going to be a rocky introduction when the time comes to replace the radiologists who will obviously meekly hand the keys to the reading room over to the grinning RNP (radiologic nurse practitioner) who will be there to babysit the machines for 1/8th the price. And every time the machine crashes the hospital HEMORRHAGES money. No pre-op, intra-op, or post-op films. "Where's the bullet?!" Oh we have no fucking clue because the system is down so just exlap away and see what happens (I know you can do this but bear with me for the hyperbole I'm trying to make). That fellow (true story) is just gonna launch that PICC into the cavernous sinus and everyone is gonna sit around being confused since you can't check anything. All it takes is ONE important person dying because of this or like 100 unimportant people at one location for society to freak the fuck out. Hurdle 3: Maintenan