You are currently viewing SemiWiki as a guest which gives you limited access to the site. To view blog comments and experience other SemiWiki features you must be a registered member. Registration is fast, simple, and absolutely free so please, join our community today!
With US medical costing twenty cents of every dollar, AI/ML with automated robotics is our best hope of keeping up and staying ahead of China, which is automating already cheap medical at a rapid rate. If we don't do change and adapt our medical system, Chinese companies will win with a ten to twenty percent cost advantage over US producers by excess medical costs alone on our entire economy. Any thoughts or comments appreciated.
I think the bigger adapation would be to improve preventative care and education on eating and exercise. Better food regulation (as much as I generally dislike regulation) would help a lot too - there are plenty of chemicals and additives banned in large parts of the world that are just 'status quo' here. The US also subsidizes markets that produce unhealthy food and food products (i.e. seed oils, corn syrup).
If we continue to stay reactive then yes we're going to need automation to stay ahead. But to really get costs down we need to look at all of the above, address perverse incentives (FDA funded half by Big Pharma), and stop publishing BS like the food pyramid that is upside down from what is actually healthy. (Also, why did it take until somewhat recently to 'discover' that cigarettes are bad, when other countries in the 1930s had already figured it out..).
For the semi market, the best solution is to not need automation because we're not getting sick in the first place.
Saw this article yesterday. Read the last section on “Operator Error”. There are two challenges - automating and teaching the medical system how to use for maximum benefit.
A.I. Chatbots Defeated Doctors at Diagnosing Illness
A small study found ChatGPT outdid human physicians when assessing medical case histories, even when those doctors were using a chatbot.
Artificial intelligence in medical imaging is taking off. Experts share what they see as the promise — and potential pitfalls — of AI technology.
www.sciencenews.org
Since 1995, the U.S Food and Drug Administration has approved nearly 900 AI-related medical devices — about 75 percent focus on radiology. But not all clinics around the country are plugged into the technology, Mert Sabuncu, a technologist at Cornell University said at the meeting, which was hosted by the New York Academy of Sciences and the Icahn School of Medicine at Mount Sinai. In fact, he said, “I would say we’re just starting to deploy them.”
Saw this article yesterday. Read the last section on “Operator Error”. There are two challenges - automating and teaching the medical system how to use for maximum benefit.
A.I. Chatbots Defeated Doctors at Diagnosing Illness
A small study found ChatGPT outdid human physicians when assessing medical case histories, even when those doctors were using a chatbot.
I read that as identifying two main factors why the doctors didn't benefit from using the AI chatbot: 1) lack of technical competence in using it (no great surprise) and 2) reluctance to accept results from AI which challenged their existing beliefs. Our old friend cognitive dissonance at work again.
If AI can do something to reduce the impact of human cognitive dissonance, that may be a benefit worth having. And one not restricted to medicine and doctors. Imagine if there were some sort of filter where you could put material through (advertising, news, marketing materials) and it could flag or compensate for the cognitive dissonance distortions of both the authors and yourself.
