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. 

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Biden Administration itemizes AI accomplishments to date

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

May 2, 2024
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New research offers reminder of why ChatGPT should not be used for second opinions

Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports. 

May 1, 2024
artificial intelligence in cardiology

ChatGPT struggles to evaluate heart risk—but it could still help cardiologists

Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations. 

May 1, 2024
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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

April 30, 2024
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Large language models, other GenAI options stimulating tech purchasing in healthcare

Budgeting for generative AI in healthcare has skyrocketed, albeit in pockets, by as much as 300% year over year. 

April 30, 2024

What the Biden administration’s artificial intelligence executive order means for radiology

“Radiologists themselves can and should play a key role in policy creation at every level," members of the specialty wrote in JACR

April 26, 2024
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GPT-4 confidently struggles on radiology exam

Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.

April 26, 2024
Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

April 26, 2024