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ps2fats

Perfect, I'm also in the NL and was hoping someone would have more information. I totally believe the GP being condescending about it, they are trained as gatekeepers to medical care to reduce costs to the system (wife is a doctor). It is also unimaginable to them, for whatever reason, that people would pay for things out of pocket.
don't confuse being unaware of an industry with there being an apparent lack of applications for this.
Re:Medicine's Machine Learning Problem on Friday January 08, 2021 @01:58PM (#25688528)
You can hardly conclude that broadly screening populations are ineffective from this study. You have to consider, among other things, the treatments available for the given disease being screened and the cost of that screening program. If treatments for the disease already have a low success rate (what is low?), the timing of detection doesn't really help. Additionally, if the cost of the screening program is negligible (what is negligible?), then even successfully treating a few patients may be worth it.
Re:Medicine's Machine Learning Problem on Friday January 08, 2021 @04:41AM (#25683110)
May I suggest, in response to your sentiment that applications of AI to medicine are lacking, is that you are seeing applications replace current medical practices. An AI diagnosis of a medical image seems redundant indeed, however in this situation a patient has seen a doctor out of complaints and has been sent to the radiologist for further investigation. This medical practice is reactionary, and suspicions are already present, so of course the AI isn't doing much useful here.

Alternatively, imagine a proactive medical world, in which preventative screenings are commonplace. Currently, the implementation of routine screenings without any complaints is prohibitively expensive on a large scale. This is because it requires manpower, and manpower is prohibitively expensive and the expense of manhours needs to be justified by a medical practitioner. However, AI can help in this proactive medical world by reducing the number of hours real people are looking through data to detect problems of patients, reducing the cost of routine screenings at large. Again, this wouldn't replace doctors, as you'd still need a specialist to analyze any positive hits, but it differs from your scenario in which the AI diagnosis seems redundant.

So, when preventative medical practices are more prevalent, the mass routine screening procedures will need help from machines to keep it cost effective, and that I believe is where this technology will find its application.

I understand why this is the way it is (cost-savings), but this needs to change. It has been shown that preventative screening can be very cost effective as opposed to reactive treatment.
In some countries, you get paid to publish in scientific journals. It is a way for the country to get recognition. There is massive incentive then to publish, apart from career incentives.