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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AI model slashes cerebral aneurysm interpretation times

Similar tools could have great utility in enhancing clinical workflows and improving the diagnosis of cerebral aneurysms, which can be deadly if ruptured.

The iCardio.ai EchoMeasure AI software to automate measurements for cardiac echo imaging. It was FDA cleared in October 2024.

FDA approves AI startup’s new software for echo assessments

iCardio.ai, co-founded by a cardiologist, is part of the Cedars-Sinai Accelerator program. The startup has already announced new partnerships with Viz.ai, Abbott and others in the cardiac health space. 

artificial intelligence technology ai in healthcare

Industry Watcher’s Digest

Johnson & Johnson goes full transparency on AI. 

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Healthcare hirers, jobseekers: Know your healthcare AI

Among AI’s most watchful stakeholders are healthcare organizations in need of AI talent and AI talent in need of work in healthcare. Both groups need to keep up with the technology in its present as well as future iterations.

Example of an automated artificial intelligence (AI) assessment of soft coronary plaque from a CT scan from the vendor Cleerly. The AI gives a very detailed report of all the plaque in all the coronary vessels. Some cardiology experts believe this may be the way of the future in screening patients for early coronary disease and monitoring the impact of prevention efforts such as statins to determine if more aggressive treatments are needed.

Medicare administrative contractors approve coverage of AI-enabled quantitative CT

Four of the seven Medicare Administrative Contractors (MACs) announced they will now cover artificial intelligence-enabled quantitative coronary tomography (AI-QCT) and coronary plaque analysis (AI-CPA). 

HeartFlow Plaque Analysis

CMS updates Medicare coverage for AI-powered coronary plaque assessments

The new policy goes into effect in November, improving Medicare coverage for a technology that has rapidly gained momentum in recent years.

MedCognetics CogNet AI-MT technology is the first embedded AI cancer detection system built into the mammography system to eliminate eliminates latency and delivering immediate, high-quality image analysis and can help prioritize exams in the worklist

AI loaded onto mammography systems can flag possible cancers in real time to speed workflows

A new AI solution offers complete mammography analysis on the imaging system, in the radiology workflow, to reduce the wait time for results. 

Ron Blankstein, MD, Brigham and Womens Hospital, explains a study using AI opportunistic screening in non-cardiac CT scans looking for coronary artery disease.

Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

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