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.

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.
‘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.”
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.
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.”
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.

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.”

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.

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.”

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.

FDA clears AI triage tool that detects acute infarcts on noncontrast CT scans

Unlike many stroke detection applications on the market, this model covers six vascular territories and mechanisms of infarct.

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'Jack-of-all-trades' AI model outperforms numerous others in CT-related tasks

Unlike other artificial intelligence tools, Merlin was built with many tasks in mind, and researchers believe its capabilities could be further expanded—with some fine-tuning.

Ligence Heart is a recently FDA cleared AI that fully automates analyses, measurements and reporting for transthoracic echo.

Cardiology now has more than 200 FDA-cleared AI algorithms

Cardiology is No. 2 behind radiology when it comes to FDA-cleared AI algorithms. Neurology, meanwhile, is a distant No. 3.