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. 

artificial intelligence AI heart cardiology

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.

Breast arterial calcifications (BACs) identified on screening mammograms may help identify women who face a heightened risk of developing cardiovascular disease (CVD), according to a new analysis published in Clinical Imaging.

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 rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

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.

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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.

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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.

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Cleerly and Bunkerhill Health unite in the name of AI-based cardiac imaging evaluations

Hospitals that partner with either company will now experience the benefits of both, learning more about the long-term heart health of their patients than ever before.

Evan Scott Shlofmitz, DO, Director of Intravascular Imaging, St. Francis Hospital, in Roslyn, New York, explains how he uses Heartflow's artificial intelligence technology to assess a patient's coronary artery disease from noninvasive CT scans to preplan PCI procedures.

How AI and CCTA help heart teams plan ahead before PCI

Evan Shlofmitz, DO, director of intravascular imaging at St. Francis Hospital, explains how advanced artificial intelligence technology is used to assess a patient's CT scan before they undergo PCI.

Good Pixel Smartwatch Loss of Pulse.

FDA clears Google smartwatch tech that calls 911 when a user’s heart stops

Google worked with AI specialists, cardiologists and even stunt performers to develop its new smartwatch feature.

Around the web

GE HealthCare said the price of iodine contrast increased by more than 200% between 2017 to 2023. Will new Chinese tariffs drive costs even higher?

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.