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. 

healthcare artificial intelligence AI

How to adopt healthcare AI in 3 overlapping yet distinct phases

Here’s a factoid you may not have seen coming. By 2030, the six countries of the Gulf Cooperation Council annually purchase more than $23 billion worth of products and services related to generative AI.

healthcare AI

Are these the 5 best healthcare AI products money can buy?

No time like the present to canvass experts for their opinions on which tools are tops. 

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.) 

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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).

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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. 

Around the web

The American College of Cardiology has sent a letter to HHS Secretary Robert F. Kennedy Jr. that outlines some of the organization’s central priorities and concerns. 

One product is being pulled from the market, and the other is receiving updated instructions for use.

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?