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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artificial intelligence robot evaluates healthcare data

Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions

“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care."

Gudrun Feuchtner, MD, MBA, HCM, assistant professor, cardiovascular imaging, Medical University Innsbruck, Department Radiology, explains how artificial intelligence-based quantitative computed tomography (AI QCT) coronary plaque features are better able to predict risk in women, according the the results of the late-breaking CONFIRM2 study at ACC 2025.

AI-based coronary plaque evaluations highlight elevated heart risks in women

“This is the perfect technique to identify high-risk patients who would benefit from intensive therapies,” imaging specialist Gudrun Feuchtner, MD, told Cardiovascular Business.

lung cancer screening

AI is most beneficial as a prescreening tool, new research suggests

Researchers deployed AI in multiple interpretation scenarios to assess how it might impact radiologists’ performances. 

AI bests radiologists at computed tomography angiography reads

CTA offers enhanced visualization for radiologists to assess patients’ risk of CAD, but the manual quantification process can be time-consuming.

HeartFocus DESKi

FDA clears AI-powered echocardiography software

HeartFocus guides users through the entire process, making it so that even novices can deliver high-quality echocardiograms every time.

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American-made GPT-4 knows no borders, translates radiology reports into different languages

New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.

Opportunistic screening tool for osteoporosis nabs FDA clearance

The algorithm can be applied to noncontrast abdominal CT scans completed for any clinical indication.

doctor wrong patient wrong-site surgery medical error malpractice mistake

Not all radiologists are buying what AI is selling, even when the technology outperforms humans

Providers are up to three times more likely to trust the opinion of humans over AI, even when the algorithm is proven to detect more cancerous lesions than radiologists. 

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Cardiovascular Business
FDA clears AI-powered echocardiography software

HeartFocus guides users through the entire process, making it so that even novices can deliver high-quality echocardiograms every time.

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Right heart cardiac ultrasound contrast agent for shunts enters U.S. trial

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