Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context. 

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Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

Last week’s blastoff of the Chinese AI company DeepSeek struck many like a cold bucket of water in the face.

Wasn’t radiology the fastest medical specialty to embrace and adopt AI? And yet burnout continues to afflict many if not most radiologists. 

This is the week of DeepSeek. 

Generative AI has a bright future in medical education. That goes not only for medical schools but also for postgraduate settings in which residents and fellows do most of their learning while also caring for patients.

When Larry Ellison talks about healthcare AI, people invest. At least, that’s what happened after the Oracle chairman enthused over AI’s potential to cook up vaccines for cancer. 

Given the precarious excitement of the moment—or is it exciting precarity?—policymakers and healthcare leaders must set directives guiding not only what to do with AI but also when to do it. 

What is Stargate and why is it here?