- 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.
Category: Artificial Intelligence and Healthcare
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.
Doctors: AI is Not Ready for Prime Time (But it Soon Will)
The New York Times talks to doctors who worry about whether artificial intelligence (AI) is up to the job of assisting in patient care.
In medicine, the cautionary tales about the unintended effects of artificial intelligence are already legendary.
There was the program meant to predict when patients would develop sepsis, a deadly bloodstream infection, that triggered a litany of false alarms. Another, intended to improve follow-up care for the sickest patients, appeared to deepen troubling health disparities.
AI is being tested in various ways. There is no Doctor AI yet, but the algorithms are embedded in decision-support software and even hardware that analyzes mammograms.