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. 

AI software IDs common cause of stroke, dementia

Researchers from the at Imperial College London and the University of Edinburgh have developed artificial intelligence (AI) software capable of detecting a common cause of dementia and stroke. Findings were published May 15 in Radiology.

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AI software diagnoses stroke, dementia with 85% accuracy

Researchers at Imperial College London and the University of Edinburgh in Scotland developed a machine learning software able to detect small vessel disease, a common cause of dementia and stroke, in brain CT scans with almost 90 percent accuracy.

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First AI-based medical device gains government approval in South Korea

South Korea’s Ministry of Food and Drug Safety announced this week that, for the very first time, it has approved a medical device that uses artificial intelligence (AI) technology.

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South Korea approves its 1st AI medical imaging device

South Korea is the latest nation to incorporate artificial intelligence (AI) in their healthcare system. Today, South Korea's Ministry of Food and Drug Safety approved its first AI-based medical device, according to an article published May 16 by the Korea Herald.

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New photoacoustic imaging method offers 3D look at cancer cells

German researchers have developed a new method for creating three-dimensional (3D) images of cells that utilizes photoacoustic imaging and a phytochrome protein to provide in vivo looks at tumor growth.

Microsoft announces AI program for individuals with disabilities

Microsoft has announced a new program to fund research into using artificial intelligence (AI) to improve care for those with disabilities.

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If you think AI will never replace radiologists—you may want to think again

It’s one of the most frequently discussed questions in radiology today: What kind of long-term impact will artificial intelligence (AI) have on radiologists?

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JACR editorial: A bleak view on the future of AI and radiology

“Today there are 34,000 radiologists in the United States. Unless radiologists do things other than interpret imaging studies, there will be need for far fewer of them,” wrote Robert Schier, MD, with Radnet, in the Journal of the American College of Radiology.