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 use among American doctors has doubled, new AMA survey says

However, physicians are expressing reservations about letting patients use the technology to interpret their radiology results, according to a new survey. 

The Society for Cardiovascular Angiography and Interventions (SCAI) is urging federal policymakers to ensure physicians play a central role in guiding the integration of artificial intelligence (AI) into clinical care, while also raising questions about liability as the technology expands across healthcare.

AI is transforming patient care—and cardiologists have a critical role to play

While the Trump administration is pushing to accelerate clinical AI adoption, SCAI has emphasized that physicians must guide how the technology is implemented and governed.

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Google's mammography AI system slashes interpretation times by one-third

That's according to findings from the largest NHS study on the use of AI in breast cancer screening settings to date. 

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Medical malpractice and AI: Jurors react differently depending on how radiologists utilize the technology

A team of legal and medical experts conducted a mock trial that entailed a series of hypothetical cases involving AI, sharing their findings in Nature Health. 

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‘Navigating the AI diagnostic dilemma’ is healthcare’s No. 1 patient safety concern in 2026

As more healthcare organizations rely on AI to interpret imaging, ECRI is urging leaders to take “a balanced approach to adoption.” 

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Opportunistic AI tool predicts CVD risk using routine mammograms

Since breast cancer screening exams are routinely completed annually or bi-annually, experts believe the tool could help spot signs of developing cardiovascular disease prior to it progressing. 

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Radiologists criticize Anthropic CEO’s recent comments about the specialty

Ben White, MD, believes Dario Amodei may have “set a new record on how quickly you can be wrong about how radiology works and how it’s been affected by AI so far.”

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Radiology Partners’ AI business receives Breakthrough Device designation from FDA

The country’s largest imaging group announced the news March 5, with the decision applying to its Cognita Chest X-ray tool across multiple clinical indications.