- Doctor fees explained.
- The many ways Obamacare has failed.
- From the first launch globally, the median time a new drug became available was 2.7 years for high-income countries, 4.5 years for upper-middle-income countries, 6.9 years for lower-middle-income countries, and 8.0 years for low-income countries.
- Harris’s home health care plan could cost $400 billion a year.
- AI’s bedside manner is better than a doctor’s.
Category: Artificial Intelligence and Healthcare
Monday Links
- CBO: Medicaid spending on illegal aliens has cost Taxpayers over $16.2 Billion in the last three years.
- o1 is the first AI to outperform PhD-level scholars on the toughest Graduate-Level Google-Proof Q&A Benchmark and to excel in solving International Mathematics Olympiad problems.
- AEI: When the social Security Trust Fund becomes exhausted in 2033, most people assume the Treasury will reduce everyone’s monthly benefit check by 21%. In fact, the administration can means test the reduction – protecting the lowest income recipients at the expense of the highest – without any act of Congress.
- In OMB’s new cost benefit analysis, higher income people get lower weights than lower income people. Viscusi on why that matters and what can go wrong.
An AI Mental Health Chatbot Will See You Now (or Maybe Not)
Would you spill your failed hopes, unfulfilled dreams and mental health challenges to a robot? How about a mental health chatbot? That’s not as strange as it sounds. Reporter Shirley Wang at The Wall Street Journal debates the value of mental health chatbots that use artificial intelligence (AI) technology.
The Future of Primary Care: AI Doctor in a Phone Booth
Artificial intelligence applications have been in the news lately. I’m especially interested in medical applications. I’ve previously written about using AI to help radiologists interpret X-rays and diagnostic images. Computer-aided radiology interpretation has been around for a few years and has gotten to the point where AI can catch things that radiologists miss. The New York Times worries about whether AI is ready to manage patient care. The consensus seems to be that although it may be premature at the moment it soon will be.