China has invested heavily in AI across medical applications. Population-scale testing is now underway at Beijing's Tsinghua University, and in Shanghai at Tongji University.
Dramatic improvements are already evident in the observed error rates in diagnosis and treatment recommendations. In the US, diagnostic errors across all disease is over 11%, with high percentages of Americans reporting significant diagnostic errors in their own patient histories. At Tsinghua's AI hospital, errors in diagnosis are under 5%.
As Large Language Models improve and are employed in ever-larger populations of real patients, China's AI in medicine will be rolled out across China, and to dozens of other countries and in areas with limited access to top-quality medical care.
The medical care industry in the United States, however, will almost certainly stand in strong opposition to any tech advances which would reduce the compensation of doctors there. The American Medical Association, along with licensing boards and medical schools, act in concert to strictly ration medical care, and prices and doctor pay as high as possible.
Resources and Links:
Substack, for transcript and direct links
https://open.substack.com/pub/kdwalmsley/p/chinas-ai-hospitals-will-transform
South China Morning Post, Tsinghua University-incubated start-up to widen test of virtual hospital with ‘AI doctors’
https://www.scmp.com/tech/tech-trends/article/3289015/tsinghua-university-incubated-start-widen-test-virtual-hospital-ai-doctors
SCMP, China’s AI integration ‘advancing rapidly’ as it plays catch-up with US
https://www.scmp.com/economy/economic-indicators/article/3277783/chinas-ai-integration-advancing-rapidly-it-plays-catch-us
SCMP, China’s AI industry could see US$1.4 trillion in investment in 6 years, executive says
https://www.scmp.com/tech/big-tech/article/3277743/chinas-ai-industry-could-see-us14-trillion-investment-6-years-executive-says
Harvard Gazette, High rate of diagnostic error found in ICU
https://news.harvard.edu/gazette/story/2024/01/research-assesses-rates-causes-of-diagnostic-errors/
Johns Hopkins, Report Highlights Public Health Impact of Serious Harms From Diagnostic Error in U.S.
https://www.hopkinsmedicine.org/news/newsroom/news-releases/2023/07/report-highlights-public-health-impact-of-serious-harms-from-diagnostic-error-in-us
NIH, The incidence of diagnostic error in medicine
https://pmc.ncbi.nlm.nih.gov/articles/PMC3786666/
Will the $1 trillion of generative AI investment pay off?
Goldman Sachs, Will the $1 trillion of generative AI investment pay off?
https://www.goldmansachs.com/insights/articles/will-the-1-trillion-of-generative-ai-investment-pay-off
Bloomberg, Generative AI to Become a $1.3 Trillion Market by 2032, Research Finds
https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/
YouTube, Inside China Business, China, and not the US, just built the world's first Artificial Intelligence hospital. Why, and why?
https://youtu.be/jF7Svo-HQts
The Medical Cartel is Keeping Health Care Costs High
https://fee.org/articles/the-medical-cartel-is-keeping-health-care-costs-high/
Thumbnail image, Medical Error Statistics
https://etactics.com/blog/medical-error-statistics
Closing scene, Yuyao, Zhejiang
Dramatic improvements are already evident in the observed error rates in diagnosis and treatment recommendations. In the US, diagnostic errors across all disease is over 11%, with high percentages of Americans reporting significant diagnostic errors in their own patient histories. At Tsinghua's AI hospital, errors in diagnosis are under 5%.
As Large Language Models improve and are employed in ever-larger populations of real patients, China's AI in medicine will be rolled out across China, and to dozens of other countries and in areas with limited access to top-quality medical care.
The medical care industry in the United States, however, will almost certainly stand in strong opposition to any tech advances which would reduce the compensation of doctors there. The American Medical Association, along with licensing boards and medical schools, act in concert to strictly ration medical care, and prices and doctor pay as high as possible.
Resources and Links:
Substack, for transcript and direct links
https://open.substack.com/pub/kdwalmsley/p/chinas-ai-hospitals-will-transform
South China Morning Post, Tsinghua University-incubated start-up to widen test of virtual hospital with ‘AI doctors’
https://www.scmp.com/tech/tech-trends/article/3289015/tsinghua-university-incubated-start-widen-test-virtual-hospital-ai-doctors
SCMP, China’s AI integration ‘advancing rapidly’ as it plays catch-up with US
https://www.scmp.com/economy/economic-indicators/article/3277783/chinas-ai-integration-advancing-rapidly-it-plays-catch-us
SCMP, China’s AI industry could see US$1.4 trillion in investment in 6 years, executive says
https://www.scmp.com/tech/big-tech/article/3277743/chinas-ai-industry-could-see-us14-trillion-investment-6-years-executive-says
Harvard Gazette, High rate of diagnostic error found in ICU
https://news.harvard.edu/gazette/story/2024/01/research-assesses-rates-causes-of-diagnostic-errors/
Johns Hopkins, Report Highlights Public Health Impact of Serious Harms From Diagnostic Error in U.S.
https://www.hopkinsmedicine.org/news/newsroom/news-releases/2023/07/report-highlights-public-health-impact-of-serious-harms-from-diagnostic-error-in-us
NIH, The incidence of diagnostic error in medicine
https://pmc.ncbi.nlm.nih.gov/articles/PMC3786666/
Will the $1 trillion of generative AI investment pay off?
Goldman Sachs, Will the $1 trillion of generative AI investment pay off?
https://www.goldmansachs.com/insights/articles/will-the-1-trillion-of-generative-ai-investment-pay-off
Bloomberg, Generative AI to Become a $1.3 Trillion Market by 2032, Research Finds
https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/
YouTube, Inside China Business, China, and not the US, just built the world's first Artificial Intelligence hospital. Why, and why?
https://youtu.be/jF7Svo-HQts
The Medical Cartel is Keeping Health Care Costs High
https://fee.org/articles/the-medical-cartel-is-keeping-health-care-costs-high/
Thumbnail image, Medical Error Statistics
https://etactics.com/blog/medical-error-statistics
Closing scene, Yuyao, Zhejiang
- Category
- Artificial Intelligence & Business
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