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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Canadian university receives $3.7M grant for AI digital pathology search engine

The Kimia Lab at the University of Waterloo in Ontario, Canada, announced it has received $3.7 million from the Ontario Research Fund-Research Excellence program for its artificial intelligence (AI) search engine project in digital pathology.

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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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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.

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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.

EnvoyAI, TeraRecon, Insignia partner to bring AI to UK customers

EnvoyAI today announced a new integration with Insignia Medical Systems’ InSight PACS to provide artificial intelligence (AI)-enhanced imaging workflows to customers.

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ACR’s Allen on partnering with MICCAI, the future of AI

Bibb Allen Jr., MD, chief medical officer with the American College of Radiology (ACR)’s Data Science Institute (DSI) talked with HealthImaging about focusing Medical Image Computing and Computer Assistance Intervention's (MICCAI) artificial intelligence (AI) challenges on radiologists' clinical needs.

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Cost-effective AI model produces 3D cell images

A new artificial intelligence (AI) tool lets scientists visualize a three-dimensional (3D) model of living human cells, even when the entire cell is not visible, according to a recent NPR story.

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.