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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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.

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.

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Machine learning tool IDs emerging bacteria before causing outbreak

Using genomic sequencing to identify mutations in emerging strains of bacteria responsible for or at-risk of causing an outbreak is time consuming and labor-intensive. However, researchers have recently developed a new machine learning tool that can speed up the process.