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. 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains artificial intelligence (AI) for radiology. Dreyer also holds the positions of vice chairman of radiology at Massachusetts General Hospital, chief data science and information officer for the departments of radiology for both Massachusetts General Hospital and Brigham and Women's Hospital.

VIDEO: Where will radiology AI be in 5 years?

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

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How do radiologists really feel about adopting AI? New data offer insight

Up to 60% of radiologists have intentions of adopting artificial intelligence tools into clinical practice in the near future. 

Notable names in the news: From Butterfly to ViewRay and a few in between

Radiology business developments that broke softly this week but may soon make waves ... 

FDA greenlights ortho robot, automated MRI brain modeling

FDA approvals arrive for ClearPoint Neuro and MicroPort Navibot. 

Educational platform releases AI course geared toward radiology administrators, technologists

The beginner course includes information on AI terminology, information technology principles, medical and legal considerations that accompany AI implementation and HIPAA compliance pertaining to the technology’s use in clinical settings. 

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AI's impact on cardiology continues to grow, leading to $1.6B in business deals in 2021 alone

A new report by data analysts highlights a trend many in cardiology have already noticed: the continued prominence of AI-powered solutions designed to diagnose and treat CVD. 

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Deep learning, subtraction technique ideal for evaluating stent re-stenosis on coronary CTA

Detecting in-stent restenosis via coronary CTA with hybrid iterative reconstruction has historically been an exercise in avoiding false positives.

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Prostate AI cleared for U.S. sales

A medical AI startup in Omaha, Neb., has received the FDA’s blessing to market software for diagnosing prostate cancer on MRI scans.