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Nvidia's Leap Into Medical

Arthur Hanson

Well-known member
Nvidia has made the leap into interpreting medical imaging as a first step into medical. Even MIT Technology review has stated we should stop training radiologists for soon AI/ML will do a better job faster and at a fraction of the cost. Already automated systems can read brain scans of what leads to Alzheimer's better than a human because of the very small molecules/plaques that are impossible for a human to see. This is just the first step and politics will play a serious role for their will be many competing special interests involved and many times science and even economics play a back seat to politics. The road into medical is a future mega market for the semi/nanotech sector and will insure future large growth.

https://www.technologyreview.com/s/611017/how-a-gaming-chip-could-someday-save-your-life/\\
 
I think the push to autonomous medical devices say radiology interpretation
machines is misguided. It is much better to provide better computer tools for
radiologists. Microscopes can "see" better than any medical researcher
for example.

The use of position analysis tools for world class chess players is
an example. World class players can now beat chess programs because
there is much more financial support for world class chess players.
In the 1990s IBM chess computer program development group had a huge budget
that included chess experts that were very good grand masters but not as
good as Kasperov who did not have any financial support. Fabiano Caruana
is probably the best current chess player at using chess position analysis
computer programs to make game tree discoveries and then win chess matches.
He has used that skill to distance himself from other world class
challengers. He won the qualifying round and will challenge Magnus
Carlsen for the world championship in the fall.

He is part of the Saint Louis Chess club that according to the Boston Globe has
support from "Rex Sinquefield's seemingly endless financial support."
(The Boston Globe)

The best humans can now beat any chess program. There probably won't be any
matches between chess programs and human players because it is in the economic
interest of players to lose to programs. The situation since the 1996 Kasperov
match is documented in my falsification of AI paper
(arXiv:1704.08111v2 [cs.AI] - new version). It includes a reference to Kasperov's
book in which he accuses IBM chess group of bullying tactics.

The same situation occurs in medical specialties. For example as medicine
advances, there are more cases where rare diseases need to be treated. The FDA
even has a special category called the Orphan Drug Program and tax credit to
encourage development of treatments for such diseases. It is a lot better to give
say radiologists better computer tools that to continually need to update and
distinguish rare diseases in autonomous diagnostic programs.
 
Medical in the US is all about money, Charlie Munger. Warren Buffet's partner stated the Singapore delivers better care than the US at twenty percent of the cost. The US ranks 37th in quality of care with the world's highest cost. I have known engineers that work in medical and the say the inefficiency and waste is extreme. US medical needs reform top to bottom and side to side. Gross inefficiency and waste is so flagrant, anyone can see it is so many ways it's almost unbelievable. Doctor's may know medicine, but when it comes to efficiency most don't have a clue and this is from personal observation. I could go on for pages and pages how just best practices could be applied to US medical. It's so bad it's sad and our world rankings and cost speak to the literal tragedy of US medical.
 
The best humans can now beat any chess program.

Comparing the Go game, it's a different story because Go game is much complicated.

How does the complexity of Go compare with Chess? - Quora
The estimated number of possible board configuration is 10¹²º in chess which is astronomical but Go has around 10 to the 174th (10¹⁷⁴) . It may not seem a lot more than chess's 10¹²º but it is actually 1 million trillion trillion trillion trillion more configurations than chess! That is a lot more.

Google's AlphaGo program repeatedly won the contest against best Go players. IMHO, medical diagnosis is very complicated and it should be a good application for ML/AI. There are just too many deficiency every human doctor must face and there is no easy solution for them (otherwise we won't talk about those errors doctors are making today).

AlphaGo - Wikipedia
 
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