AI has already made a massive impact on healthcare, especially in the fields of cardiology and radiology. With the FDA clearing more and more algorithms, this trend is only expected to grow as time goes on.

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

Researchers developed several new AI models that could guide the management of patients with non-valvular atrial fibrillation. There is still some work to do in terms of accuracy, but they already appear to outperform the traditional risk scores being used today.

Meet an 86-year-old IT entrepreneur who recently beefed up his AI skills in a challenging postgraduate program. 

If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology? 

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It’s no surprise Trump Administration II is taking a laissez-faire stance toward AI regulation. After all, the winning candidate campaigned pretty hard on scaling back all regulation. 

When blinded as to authorship, healthcare consumers slightly prefer medical messages composed by generative AI to those written by human clinicians. 

If U.S. healthcare is to help advance responsible and ethical AI for all communities, it very much needs to continue prioritizing DEI initiatives. 

The people who can least afford healthcare are often among those who need healthcare the most.