American logistics expert reports from China video: China’s AI hospitals will transform medicine across the world to eliminate errors by doctors and replacing doctors. But not in the United States because doctors only cares to make more money. 美國物流專家中國視訊報導：中國的人工智慧醫院將改變世界各地的醫學，消除醫生的錯誤並取代醫生。但在美國卻不然，因為醫生不管病人死活只想賺更多錢.

https://youtu.be/t0DkSfP4ZL4?si=2STtzxhDymqjgzlB
https://www.tiktok.com/t/ZP8NrC9dS/
https://www.scmp.com/tech/tech-trends/article/3289015/tsinghua-university-incubated-start-widen-test-virtual-hospital-ai-doctors
https://www.scmp.com/tech/big-tech/article/3277743/chinas-ai-industry-could-see-us14-trillion-investment-6-years-executive-says
https://news.harvard.edu/gazette/story/2024/01/research-assesses-rates-causes-of-diagnostic-errors/
https://www.bloomberg.com/company/press/generative-ai-to-become-a-1-3-trillion-market-by-2032-research-finds/

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.

中國在醫療應用領域的人工智慧方面投入了大量資金。 目前，北京清華大學和上海同濟大學正在進行人口規模測試。

在診斷和治療建議中觀察到的錯誤率已經有了明顯的顯著改善。 在美國，所有疾病的診斷錯誤率超過 11%，有很高比例的美國人表示在自己的病患病史中有重大診斷錯誤。 在清華人工智慧醫院，診斷錯誤率低於5%。

隨著大語言模型的改進並在越來越多的真實患者群體中得到應用，中國的醫療人工智慧將在中國各地以及其他數十個國家和難以獲得高品質醫療服務的地區推廣。

然而，美國的醫療保健產業幾乎肯定會強烈反對任何會減少醫生薪資的技術進步。 美國醫學會與許可委員會和醫學院一致行動，嚴格配給醫療服務，並盡可能高地定價和支付醫生費用.