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. 

More experts weigh in on the use of ChatGPT in radiology: Ethical use is ‘imperative’

"It is essential for the radiologist to check and verify the generated report," one member of the specialty wrote Tuesday in Radiology

March 8, 2023

Artificial intelligence bests ED docs, but not experienced radiologists, at detecting fractures

“This study suggests that deep learning algorithms can be useful in improving the detection of fractures," experts wrote Monday in Pediatric Radiology

March 7, 2023
Chatbot

6 ways radiologists can use ChatGPT

Worried that AI is coming to take over radiology jobs? Instead, a recent paper suggests, radiologists should start using it to their advantage.

March 1, 2023
artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

Imaging giant RadNet loses $25M on AI segment but sees profitability ahead in 2024

The Los Angeles-based imaging center operator has made a big play in AI recently, including buying two such firms last year for $100M. 

March 1, 2023

Q&A: Dr. William Brody reflects on a radiological life well lived

As a high-schooler, he rebuilt a hospital’s discarded X-ray machine to learn the science of crystallography using the principles of Bragg diffraction.

February 21, 2023
The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring radiology AI trends. Photo by Dave Fornell

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

February 17, 2023
Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in the market for radiology PACS. She said the biggest overall strategic technology trends are wider adoption of enterprise imaging systems expanding beyond radiology to include other departments, migration to cloud data storage, and adoption of artificial intelligence. Components of these integrate into the 5 trends in radiology IT systems outlined below.

5 key trends in PACS and enterprise imaging from Signify Research

Signify Research explains several key trends in the evolution of radiology PACS and enterprise imaging systems, including adoption of artificial intelligence, streamlining workflow, implementing structured reporting and more.

February 15, 2023
Ed Nicol, MD, consultant cardiologist and honorary senior clinical lecturer with Kings College London and president-elect of the Society of Cardiovascular Computed Tomography (SCCT), explained artificial intelligence (AI) in cardiac CT is here to stay and its use is expanding. He noted that one AI-based algorithm is already included in recent cardiology guidelines and more will likely follow. #SCCT

Cardiac imagers need to understand AI as it enters clinical use and ACC guidelines

Most FDA-cleared AI algorithms are related to radiology and cardiology, meaning radiologists and cardiologists need to make an effort to learn how these technologies work.

February 15, 2023

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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