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.

Use of AI in radiology revenue cycle management
Dave Walker, senior director of revenue cycle, Radiology Associates of North Texas, explains how his practice uses artificial intelligence for revenue cycle management during the Radiology Business Management Association (RBMA) 2024 meeting.
GPT-4 can detect radiology report errors at the same rate as members of the specialty
“This efficiency in detecting errors may hint at a future where AI can help optimize the workflow within radiology departments," a lead author of the study said.
Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses
Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases).
GE HealthCare finalizes acquisition of Cleveland-based provider of AI imaging-analysis software
The company plans to integrate MIM Software's radiology and nuclear medicine solutions into its advanced-visualization product line.
Large language models excel at simplifying radiology reports
Yale scientists sought to gauge how LLMs such as ChatGPT-3.5/4, Google’s Bard (now known as Gemini) and Microsoft Bing could improve readability.

Example of a radiology diagnostic aid artificial intelligence (AI) algorithm with Lunit's mammography cancer lesion detection system.

VIDEO: Segmenting the Radiology Artificial Intelligence Market by Function

Keith J. Dreyer, DO, American College of Radiology (ACR) Data Science Institute chief science officer, breaks down radiology AI down into 4 areas and discusses where these areas stand with regulatory approval.

August 17, 2022

New national board forms, opens training course in radiological AI

An educational outfit has sprung up to equip nonphysicians working in radiology—chiefly administrators, business managers and technologists—with radiologist-level fluency in AI.

August 17, 2022

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.

August 16, 2022

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).

August 16, 2022

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 ...

August 12, 2022

FDA greenlights ortho robot, automated MRI brain modeling

FDA approvals arrive for ClearPoint Neuro and MicroPort Navibot.

August 11, 2022

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.

August 10, 2022

CMS greenlights LDCT lung cancer screening

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.

August 7, 2022

Around the web

Cardiovascular Business

Medicare drops AUC requirement for advanced imaging, ASNC celebrates

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

Cardiovascular Business

Cardiology, radiology groups urge insurance provider to rethink imaging policy

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

Cardiovascular Business

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

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

Artificial Intelligence

Use of AI in radiology revenue cycle management

GPT-4 can detect radiology report errors at the same rate as members of the specialty

Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses

GE HealthCare finalizes acquisition of Cleveland-based provider of AI imaging-analysis software

Large language models excel at simplifying radiology reports

Around the web