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Demand for human radiologists is at an all-time high

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Re: Demand for human radiologists is at an all-time high

#51

> Three things explain this. First,... Second, attempts to give models more tasks have run into legal hurdles: regulators and medical insurers so far are reluctant to approve or cover fully autonomous radiology models. Third, even when they do diagnose accurately, models replace only a small share of a radiologist’s job. Human radiologists spend a minority of their time on diagnostics and the majority on other activi…

>Human radiologists spend a minority of their time on diagnostics and the majority on other activities, like talking to patients and fellow clinicians. How often do they talk to patients? Every time I have ever had an x-ray, I have never talked to a radiologist. Fellow clinicians? Train the xray tech up a bit more. If the mote is 'talking to people' that is a mote that doesn't need an MD, or at least not a full speci…

Train the xray tech up a bit more.

That's fine. But then the xray tech becomes the radiologist, and that becomes the point in the workflow that the insurer digs out the malpractice premiums.

In essence, your xray techs would become remarkably expensive. Someone is talking to the clinicians about the results. That person, whatever you call them, is going to be paying the premiums.

Re: Demand for human radiologists is at an all-time high

#52

So instead of having to train and employ radiologists, we will train and employ radiologists and pay for the AI inference. Excuse me, but how is this beneficial in any way? It's trivially more expensive, and the result has the same quality? And productivity is also the same?

Not sure about other hospital systems, but the one I work at is developing CV systems to help fill workforce gaps in places where there isn’t as many trained professionals or even resources to train professionals

Re: Demand for human radiologists is at an all-time high

#53

One thing people aren't talking about is liability. At the end of the day if the radiologist makes an error the radiologist gets sued. If AI replaces the radiologist then it is OpenAI or some other AI company that will get sued each and every time the AI model makes a mistake. No AI company wants to be on the hook for that. So what will happen? Simple. AI will always remain just a tool to assist doctors. But there wi…

>At the end of the day if the radiologist makes an error the radiologist gets sued.

Are you sure? Who would want to be a radiologist then when a single false negative could bankrupt you? I think it's more likely that as long as they make a best effort at trying to classify correctly then they would be fine.

Re: Demand for human radiologists is at an all-time high

#54
When Tesla demoed (via video) self-driving in 2016 with a claim "The person in the driver’s seat is only there for legal reasons. He is not doing anything. The car is driving itself" and then when they unveiled Semi in 2017 - I tweeted out and honestly thought that trucking industry is changed forever and it doesn't make sense to be starting in trucking industry. It's almost end of 2025 and either nothing out of it or just a small part of it panned out.

I think we all have become hyper-optimistic on technology. We want this tech to work and we want it to change the world in some fundamental way, but either things are moving very slowly or not at all.

Re: Demand for human radiologists is at an all-time high

#55

> Three things explain this. First,... Second, attempts to give models more tasks have run into legal hurdles: regulators and medical insurers so far are reluctant to approve or cover fully autonomous radiology models. Third, even when they do diagnose accurately, models replace only a small share of a radiologist’s job. Human radiologists spend a minority of their time on diagnostics and the majority on other activi…

I only came to this thread to say that this is completely untrue: >Human radiologists spend a minority of their time on diagnostics and the majority on other activities, like talking to patients and fellow clinicians. The vast majority of radiologists do nothing other than: come in (or increasingly, stay at home), sit down at a computer, consume a series of medical images while dictating their findings, and then go h…

Are these the ones making 500K? Sounds like more of an assistance job than an MD.

Re: Demand for human radiologists is at an all-time high

#56
post #7
post #5

In 2016, Geoffrey Hinton – computer scientist and Turing Award winner – declared that ‘people should stop training radiologists now’. If we had followed every AI evengelist sugestion the world would have collapsed.

Let's assume the last person that entered their radiologist training started then and the training lasts 5 years. At the end of their training the year is 2021 and they are around 31. So that means they will practice medicine for cca 30 years which would put the calendar at around 2051. I'd wager in 25 years we'd get there so I think his opinion still has a large percentage of being correct.

And if it doesn't work out ?

People can't tell what they'll eat next sunday but they'll predict AGI and singualrity in 25 years. It's comfy because 25 years seems like a lot of time, it isn't.

https://en.wikipedia.org/wiki/List_of_predictions_for_autono...

> I'd wager in 25 years we'd get there so I think his opinion still has a large percentage of being correct.

What percent, and which maths and facts let you calculate it ? The only percent you can be sure about is that it's 100% wishful thinking

Re: Demand for human radiologists is at an all-time high

#57
post #41

Earlier quoted context omitted.

If they had absolute perfect performance at zero cost, you would not need a radiologist. The current "workflow" is primary care physician (or specialist) -> radiology tech that actually does the measurement thing -> radiologist for interpretation/diagnosis -> primary care physician (or specialist) for treatment. If you have perfect diagnosis, it could be primary care physician (or specialist) -> radiology tech -> ML…

Nope. To understand why, you would really need to take a good read of the average PCP's malpractice policy. The policy for a specialist would be even more strict. You would need to change insurance policies before your workflow was even possible from a liability perspective. Basically, the insurer wants, "a throat to choke", so to speak. Handing up a model to them isn't going to cut it anymore than handing up Hitachi…

Doesnt this become the developer? Or perhaps a specialist insurer who develops expertise and experience to indemnify them?

Re: Demand for human radiologists is at an all-time high

#58
post #5

In 2016, Geoffrey Hinton – computer scientist and Turing Award winner – declared that ‘people should stop training radiologists now’. If we had followed every AI evengelist sugestion the world would have collapsed.

Too damn hard to predict the future! We live in an age where 20 years is unseeable for a lot of things.

Re: Demand for human radiologists is at an all-time high

#59
post #7
post #5

In 2016, Geoffrey Hinton – computer scientist and Turing Award winner – declared that ‘people should stop training radiologists now’. If we had followed every AI evengelist sugestion the world would have collapsed.

Let's assume the last person that entered their radiologist training started then and the training lasts 5 years. At the end of their training the year is 2021 and they are around 31. So that means they will practice medicine for cca 30 years which would put the calendar at around 2051. I'd wager in 25 years we'd get there so I think his opinion still has a large percentage of being correct.

Radiologists can retrain to do something else adjacent surely? Not like they'll suddenly be like an 18 year old with no degree trying to find a job.

Re: Demand for human radiologists is at an all-time high

#60

When Tesla demoed (via video) self-driving in 2016 with a claim "The person in the driver’s seat is only there for legal reasons. He is not doing anything. The car is driving itself" and then when they unveiled Semi in 2017 - I tweeted out and honestly thought that trucking industry is changed forever and it doesn't make sense to be starting in trucking industry. It's almost end of 2025 and either nothing out of it o…

No it’s just machine learning was always awesome for the 98% of the cases. We got fooled that we can easily deal with the remaining 2%.
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