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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Improving MRI reconstructions by combining traditional techniques with new ML tools

“We found that if you tune the classical methods, they can perform very well,” an expert involved in the research said.

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Artificial intelligence in radiology: Friend, not foe, say experts concerned about student perceptions of AI

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.

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TB-detecting AI tool shows promise for improving screening in low resource areas

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

VIDEO: 9 key areas where AI is being implemented in healthcare

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

Concerns about the future of AI are deterring students from pursuing radiology, survey shows

According to the new data, students believe that emerging technologies, including artificial intelligence, could eventually render some specialties obsolete.

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VIDEO: Where are we with AI adoption in radiology?

Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, discusses multiple factors involved in the adoption rate of artificial intelligence in radiology.
 

Two of the top stories this month included the death of MRI pioneer Raymond Vahan Damadian. Experts at MIT also developed ultrasound stickers that can be worn in the same manner as a Band-Aid while also producing diagnostic quality images in real-time. #MRI

Top Health Imaging stories in August 2022

Here are the most popular stories on Health Imaging in August, based on our website analytics. 

Automated CT body composition analysis predicts risk of stroke and heart attack

Researchers observed visceral fat area (VFA) measurements derived from abdominal CT scans to be associated with increased cardiovascular risk. 

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