Neil I. Patel
๐ค SpeakerAppearances Over Time
Podcast Appearances
This is a hard and challenging problem with something as mechanical as a respirator or a sleep apnea machine where you can see the problem. You might even be able to hear the problem, right? We've talked a lot about what you're doing next, and a lot of it is software. It's connected services in the home. It's synthesizing a bunch of data to help make diagnoses faster. It's the use of AI.
It is vastly harder for anyone to see the problems in software. How are you thinking about that risk and measuring that risk?
It is vastly harder for anyone to see the problems in software. How are you thinking about that risk and measuring that risk?
It is vastly harder for anyone to see the problems in software. How are you thinking about that risk and measuring that risk?
One of the pieces of the puzzle there is the actual core AI technology you're using. Maybe for complaint management, do you have an LLM AI that's doing whatever it's doing there to manage text? Maybe that's what you're using for informatics for nurses. In imaging, which is where a lot of the promise of AI in healthcare lies, you might be using a different model.
One of the pieces of the puzzle there is the actual core AI technology you're using. Maybe for complaint management, do you have an LLM AI that's doing whatever it's doing there to manage text? Maybe that's what you're using for informatics for nurses. In imaging, which is where a lot of the promise of AI in healthcare lies, you might be using a different model.
One of the pieces of the puzzle there is the actual core AI technology you're using. Maybe for complaint management, do you have an LLM AI that's doing whatever it's doing there to manage text? Maybe that's what you're using for informatics for nurses. In imaging, which is where a lot of the promise of AI in healthcare lies, you might be using a different model.
Are you partnering with outside companies to build those models? Are you training your own foundation models? How does that work for you? We're doing both.
Are you partnering with outside companies to build those models? Are you training your own foundation models? How does that work for you? We're doing both.
Are you partnering with outside companies to build those models? Are you training your own foundation models? How does that work for you? We're doing both.
There's a handful of radiologists in my family. Their view is over time, AI will just take their jobs away, right? In particularly, the imaging use case is so powerful. Obviously, it doesn't get sleepy. It doesn't make as many mistakes that over time that that will become automated. I don't know if they're right or wrong. That's what they tell me at parties. What's your view?
There's a handful of radiologists in my family. Their view is over time, AI will just take their jobs away, right? In particularly, the imaging use case is so powerful. Obviously, it doesn't get sleepy. It doesn't make as many mistakes that over time that that will become automated. I don't know if they're right or wrong. That's what they tell me at parties. What's your view?
There's a handful of radiologists in my family. Their view is over time, AI will just take their jobs away, right? In particularly, the imaging use case is so powerful. Obviously, it doesn't get sleepy. It doesn't make as many mistakes that over time that that will become automated. I don't know if they're right or wrong. That's what they tell me at parties. What's your view?
Is the technology good enough to achieve a complete reinvention of that field over some period of time?
Is the technology good enough to achieve a complete reinvention of that field over some period of time?
Is the technology good enough to achieve a complete reinvention of that field over some period of time?
The radiologists I know would not... would blame that entirely on the presence of private equity in their industry. But that is a different podcast. We'll come to that at a different time. Let me ask you this question.
The radiologists I know would not... would blame that entirely on the presence of private equity in their industry. But that is a different podcast. We'll come to that at a different time. Let me ask you this question.
The radiologists I know would not... would blame that entirely on the presence of private equity in their industry. But that is a different podcast. We'll come to that at a different time. Let me ask you this question.
Right now, if you use a standard MRI machine and you have some images taken and somebody reads them, gives you a diagnosis, something happens and they were wrong, you would sue the doctor, right? That's very clear. You're not going to sue the tool that they used.