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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True or false? ‘AI does not influence radiologists’ performance’

A healthcare AI startup in Silicon Valley is partnering with a top-tier medical school—and hopefully a few good radiologists—to test a hypothesis that’s increasingly crucial to radiology.

July 19, 2022
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A narrow miss for AI trained to find pacemakers on X-rays for MRI safety

A convolutional neural network has achieved 99.67% accuracy at flagging the presence of pacemakers on chest radiographs in patients referred for MRI.

June 30, 2022
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CE mark granted for AI-based MSK interpretation aid

A Danish healthtech company has been cleared for European sales of AI software aimed at helping trauma physicians detect and classify fractures.

June 30, 2022

Radiologists develop AI to flag artifacts on CT pulmonary angiography

The capability could allow immediate alerting of CT technologists, who would adjust scan protocols or re-scan patients to optimize image quality prior to physician interpretation.

June 27, 2022
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Work no less burdensome for 70% of 276 radiologists using AI

Radiologists across Europe have been finding AI algorithms useful for improving efficiency at some tasks—yet, overall, few have received AI-attributable workload relief.

June 25, 2022
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‘Vast and diverse’ repository of image data goes open-access for healthcare AI researchers

A small medtech outfit in North Carolina is opening its trove of medical imaging datasets to academic researchers working to develop AI applications for healthcare.

June 24, 2022
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Seeds planted for a needs-based, radiology-specific AI curriculum

There’s no shortage of educational resources for teaching radiologists at all learning levels the principles and particulars of medical AI, but the need for radiology-specific materials is pronounced, according to a study published June 23. 

June 23, 2022
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2 imaging AI vendors teaming up to present 1 point of sale

A healthcare AI platform supplier headquartered in Scotland is collaborating on marketing with a San Francisco-based AI startup co-founded and -led by a radiologist.

June 23, 2022

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Using CT to perform coronary artery calcium scoring on symptomatic chest pain patients can deliver significant value, according to a new data published in Radiology

Peninsula Imaging told Mary Raver in 2014 that a cancerous growth was benign. She now has 18 months to live.

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