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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Viz.ai’s automated ventricle assessor cleared

The FDA has OK’d an algorithm that automatically ratios the diameter of the right ventricle vs. that of the left on CT pulmonary angiography studies for patients with pulmonary embolism (PE).

September 2, 2022
Ischemic stroke shown in CT scans. Image courtesy of RSNA

VIDEO: AI for stroke detection on CT imaging

Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, explains the trend of using AI for the automated detection of stroke on computed tomography (CT) imaging and the need to include radiologists on the stroke care team.

August 30, 2022
Echo:Prio represents the latest addition to Dyad Medical's cloud-based Libby platform. Image courtesy of Dyad Medical.

Regulatory Roundup: FDA approves new-look self-expanding stent, clears 2 advanced AI models

The FDA has had a busy month, overseeing the recall of nearly 88,000 implantable cardiac devices, juggling the continued rise of monkeypox cases in the United States and maintaining an active Breakthrough Devices program. This rundown covers some of the agency's biggest moves during that time. 

August 24, 2022
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AI research published without code, data, documentation interesting to readers but unhelpful to science: RSNA pubs review

Over the five-year period ending last December 31, only a third of 218 scientific articles on AI in four popular radiology journals shared the researchers’ code. 

August 23, 2022
Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains considerations for healthcare system information technology (IT) management teams on the implementation of artificial intelligence (AI). He also discusses ideally how AI should be integrated into medical IT systems, and some of the issues AI presents in the complex environment of real-world patient care." #AI #HIMSS

VIDEO: How hospital IT teams should manage implementation of AI algorithms

Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America, explains considerations for healthcare IT teams on the implementation of artificial intelligence (AI).

August 22, 2022
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Concerns raised over how hospitals can validate radiology AI algorithms

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms need to undergo quality assurance (QA) reviews.

August 19, 2022
Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, and former ACR president, explains how hospitals or radiology departments can conduct quality assurance (QA) assessments on artificial intelligence (AI) algorithms they adopt to ensure they are accurate. The ACR established the Assess-AI Registry and AI-Lab to help with validating and tracking AI QA for FDA-cleared algorithms.

VIDEO: Validation monitoring for radiology AI to ensure accuracy

Bibb Allen, MD, FACR, Chief Medical Officer of the American College of Radiology (ACR) Data Science Institute, and former ACR president, explains how hospitals or radiology departments can conduct quality assurance assessments on artificial intelligence algorithms they adopt to ensure they are accurate. 

August 19, 2022
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Nuance and Covera join forces to improve radiology quality ‘at scale’

PowerScribe purveyor Nuance is partnering on widescale care improvement with a healthcare AI startup that made its name showing Walmart where, and where not, to send its employees for high-accuracy radiology.

August 18, 2022

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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