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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Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

VIDEO: Development of AI app stores to enable easier access

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

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).

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. 

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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.

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Mobile fluoroscopy machine, DR detector cleared for U.S. sales

The FDA has approved Xoran’s Tron CT system, a full-body fluoroscopy system that is fully mobile, and Viewworks’s Vivix-S F series flat panel detectors for digital radiography.

Should patients—or any of 6 other stakeholder groups—get paid for AI in healthcare?

The commoditization of health data raises questions about who is owed what, and in what proportion, when artificial intelligence renders the data clinically useful and thereby financially profitable.

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AI quality assurance models saving lives and millions in avoided med-mal

Sponsored by vRad

Unrecognized imaging findings are an unfortunate, but undeniable, part of radiology. New advancements in artificial intelligence (AI) and machine learning offer a critical safety net that is improving care and saving lives — as well as avoiding millions of dollars in potential medical malpractice costs.

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