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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RSNA announces winners of abdominal trauma AI challenge

The Radiological Society of North America's latest contest focused on the detection and classification of injuries in the abdomen. 

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AI able to identify autism in children with 98.5% accuracy

The study's full results are set to be presented at the Radiological Society of North America annual meeting in Chicago later this month.

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Deep learning in cardiovascular imaging: 4 key takeaways for cardiologists

More and more AI algorithms are being trained to learn, think and act like a human physician. What does this mean for the future of cardiovascular imaging as time goes on?

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American College of Radiology initiative seeks to improve transparency among AI vendors

The ACR Data Science Institute’s “AI Central” allows physicians to select algorithms that have been vetted for performance. 

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South Korea-based Imaging AI vendor Lunit raises $150M in new capital

Traded on the Kosdaq stock exchange, the company held a public offering earlier this month, which garnered an “enthusiastic response” from investors. 

FDA clears AI-powered brain MRI software from French firm Pixyl

The product aims to reduce radiologists’ read times while bolstering the detection of certain neurological disorders. 

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FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans. 

NYU Langone Health

Philips inks 8-year partnership worth up to $115M with NYU Langone Health

As part of the deal, the top-ranked academic medical center will adopt Philips’ AI-powered imaging technologies, including handheld US.