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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2 major industry players combine forces to drive medical imaging AI ‘directly into clinical settings’

An imaging industry supplier best known for a widely adopted radiology reporting platform is partnering on radiological artificial intelligence with a company that pioneered GPUs and accelerated computing.

November 15, 2022
RSNA connections

RSNA primes 2022 conference attendees for virtual participation, technical exhibits

With its 108th scientific assembly and annual meeting a little more than two weeks away, the Radiological Society of North America is encouraging attendees to experience 2022’s big show virtually—even if they’ll be there in person.

November 11, 2022
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FDA greenlights intracranial hemorrhage AI

RapidAI has been cleared for U.S. marketing of updated AI-outfitted software that quickly detects or rules out acute brain hemorrhage on unenhanced CT.

November 10, 2022
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Researchers use AI for neural implants to treat Parkinson’s disease and epilepsy

When implanted in the brain, the chips can lessen symptoms by modulating abnormal brain activity.

November 3, 2022
Man vs. Machine artificial intelligence AI

Should AI-based imaging tools guide treatment decisions?

Abhinhav Jha, PhD, discusses his plans for a $314,807 NIH grant to explore the ethics of AI in imaging given its inherent uncertainties.  

October 24, 2022
An example of commercially available artificial intelligence (AI) automated grading of breast density on mammograms from the vendor Densitas..

VIDEO: Role of AI in breast imaging with radiomics, detection of breast density and lesions

Connie Lehman, MD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at Massachusetts General Hospital, discusses how artificial intelligence (AI) is being implemented in breast imaging.

October 18, 2022
Example of a cancer that is difficult to see in dense breast tissue, but can be seen easier using 3D mammography digital breast tomosynthesis (DBT) breast imaging because the radiologist can go through the breast layer by layer if tissue..

VIDEO: The rapid adoption of 3D mammography and use of AI to address dense breasts

Stamatia Destounis, MD, a radiologist and managing partner at Elizabeth Wende Breast Care in Rochester, New York, chair of the American College of Radiology (ACR) Breast Commission, explains the rapid adoption of 3D mammogram digital breast tomosynthesis (DBT) technology.
 

October 14, 2022
Society of Breast Imaging (SBI) President John Lewin, MD, explains some of new initiatives and technology in mammography to increase earlier breast cancer detection. #SBI #breastimaging #mammography

VIDEO: SBI president outlines trends in breast imaging

Society of Breast Imaging President John Lewin, MD, explains some of the new initiatives and technology in mammography that are designed to increase early breast cancer detection.

October 14, 2022

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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