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. 

artificial intelligence AI in healthcare

5 measures of AI maturity in which healthcare has some growing up to do

There may be upsides to being less mature at this stage of society’s AI shift—relentless optimism could detract from mitigating potential risks.

Cardiologist Ami B. Bhatt, MD, a digital health specialist and longtime member of the American College of Cardiology (ACC), will serve as the Digital Health Advisory Committee's very first chair.

Cardiologist to chair new FDA advisory committee focused on AI, other digital health technologies

The Digital Health Advisory Committee is tasked with providing perspective and recommendations on a wide variety of topics. These insights will then help the FDA draft new policies and make other important decisions.

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Generative AI explains echo results to heart patients

Researchers used OpenAI’s ChatGPT technology to build 100 patient-friendly echo reports, evaluating each one for accuracy, relevance and understandability. The AI reports passed the test with flying colors. 

ai artificial intelligence in healthcare

Healthcare gets a quick checkup for signs of gen AI metabolization

It’s easy to forget that generative AI launched into the economy—and the public imagination—less than two years ago. How could it be otherwise?

artificial intelligence in healthcare

10 aspects of healthcare AI to which attention must be paid

Patient safety should be the No. 1 consideration for healthcare organizations working, planning or hoping to adopt AI. Then again, nine other concerns are similarly crucial to the success of the industry-wide endeavor.

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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.

Around the web

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

Cardiologists and other physicians may soon need to provide much more information when ordering remote patient monitoring for Medicare patients.

Why are so many cardiovascular devices involved in Class I recalls? One possible reason could be the large number of devices hitting the market without undergoing much premarket clinical testing. 

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