Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

AI represents the single biggest opportunity to fundamentally transform healthcare since antibiotics.

Brainstorm, collaborate to save healthcare AI from a ‘failure of imagination’

The suggestion comes from a strategic communications professional who specializes in thinking creatively about how to unlock opportunities—including those that are, at present, hard to see.

#StanfordHAI #AIregulation Stanford Institute for Human-Centered AI

Workshop consensus: Fixing healthcare AI regulation will take more than tweaks and patches

Querying 55 thought leaders behind closed doors, the Stanford Institute for Human-Centered AI has found only 12% believe healthcare AI should always have a human in the loop.

'Well-resourced and innovation-focused hospitals should mentor and provide technical support to underfunded or smaller hospitals.'

How to mitigate institutional inequities involving AI

When it comes to adopting healthcare AI, large, well-off hospitals are likely to frequently homer while smaller, struggling institutions go down looking. (Baseball analogy in honor of tonight’s Midsummer Classic.) 

quality excellence star stethoscope

Female cardiologists much more likely to receive negative reviews

Researchers explored more than 100,000 online reviews, using AI to learn as much as possible about what drives patients to give their cardiologist a positive or negative rating.

ai artificial intelligence in healthcare

6 ways to convert GenAI adoption into real business value

Using the technology and making it work for purpose are two different things. And the U.S. leads all countries in terms of full implementation, at 24% (vs. 19% for China).

artificial intelligence in healthcare oncology cancer care

3 aspects of cancer care ripe for AI augmentation

Oncologists using or considering AI tools tend to agree among themselves on three points of ethics—and to recognize the same number of ways AI could help advance the state of patient care. 

artificial intelligence AI in healthcare

Elusive quadruple aim revisited for the generative AI era

Is U.S. healthcare capable of achieving its own quadruple aim? Or is that ideal destined to remain a perpetual pursuit, always chased but never really caught?

artificial intelligence in healthcare

Coalition for Health AI publishes stakeholder guide, proposes 6-stage AI lifecycle

Those who have been thinking healthcare could use a detailed framework on the responsible use of healthcare AI just got their wish.

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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