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.

FDA sees promise in new AI model for heart attack detection
Powerful Medical's advanced algorithm was designed to detect STEMI and STEMI-equivalent patterns in a patient’s ECG results.
Opportunistic screening: AI highlights key heart findings in mammography images
Breast artery calcifications are already visible when radiologists review mammograms, but nothing typically happens with them. Researchers aimed to see if AI could help translate those findings into an easy-to-understand cardiovascular risk score.
The revolution is here: AI’s growing role in cardiovascular imaging, interventional cardiology
AI has already made a massive impact on healthcare, especially in the fields of cardiology and radiology. With the FDA clearing more and more algorithms, this trend is only expected to grow as time goes on.
AI could help cardiologists predict bleeding, stroke risks in AFib patients on DOACs
Researchers developed several new AI models that could guide the management of patients with non-valvular atrial fibrillation. There is still some work to do in terms of accuracy, but they already appear to outperform the traditional risk scores being used today.
FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease
Caristo Diagnostics, an Oxford-based medtech company founded by cardiologists, has gained FDA clearance for its CaRi-Plaque technology.

No-contact blood pressure and diabetes screening with AI shows promise

The new technology, still under development, could help physicians screen patients for diabetes and hypertension with high-speed video recordings.

Predicting sudden cardiac death after a heart attack may be impossible—for now

Researchers tried to crack the code, but they fell short time and time again. AI may offer potential as one way to finally find an answer, they added.

‘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 FFR_CT Analysis and Plaque Analysis software.

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.

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Artificial Intelligence

FDA sees promise in new AI model for heart attack detection

Opportunistic screening: AI highlights key heart findings in mammography images

The revolution is here: AI’s growing role in cardiovascular imaging, interventional cardiology

AI could help cardiologists predict bleeding, stroke risks in AFib patients on DOACs

FDA clears AI-assisted CCTA software that assesses plaques for signs of heart disease

Around the web