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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‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

HeartLung Technologies, a Houston-based artificial intelligence (AI) company, has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for new software that assesses chest CT scans for signs of coronary artery disease (CAD) and other potentially fatal heart conditions. The newly cleared offering, AutoChamber, was designed with opportunistic heart evaluations in mind.

FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

Using advanced artificial intelligence (AI) platforms to assess imaging results and quantify coronary plaque buildup can help clinicians predict adverse events in patients with suspected coronary artery disease (CAD), according to late-breaking data presented at TCT 2024 in Washington, D.C.

AI-enabled plaque assessments help cardiologists ID high-risk CAD patients

AI-enabled coronary plaque assessments deliver significant value, according to late-breaking data presented at TCT. These AI platforms have gained considerable momentum in recent months, receiving expanded Medicare coverage in addition to a new Category I CPT code.

New data highlight long-term benefits of HeartFlow’s AI-based CAD evaluations

HeartFlow kicked off TCT 2024 by sharing new research on the long-term impact of its FFRCT Analysis and Plaque Analysis software.

robot reviewing heart data

Medicare coverage expands again for AI-enabled coronary plaque assessments

Another MAC has agreed to cover the use of these advanced technologies to evaluate patients for signs of coronary artery disease. 

HeartFlow sharing new data on AI-enabled CAD management at TCT 2024

The California-based company, fresh off receiving expanded Medicare coverage and a new Category I CPT code for its AI offerings, will have a significant presence at TCT 2024. 

HeartFlow Plaque Analysis Example

New Category I CPT code issued for AI-enabled coronary plaque analysis software

The news comes just days after CMS confirmed these technologies would start receiving expanded Medicare coverage in November. HeartFlow and other AI vendors have already shared their excitement over the decision. 

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. 

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Around the web

Health Imaging
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.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.