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. 

Rajesh Bhayana MD Toronto General Hospital in Toronto on ChatGPT passing radiology board.

Latest version of ChatGPT AI passes radiology board exam

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

May 16, 2023
Imaging

Natural language processing helps increase follow-up imaging adherence, resulting in significant revenue

A new paper details how a team at the University of California utilized a hybrid system consisting of a quality coordinator and NLP software to bring in more than $60,000 in additional revenue from follow-up imaging alone.

May 15, 2023
An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology has embraced AI more than most other specialties

Cardiology is linked to the second largest group of FDA-cleared clinical AI algorithms, and the number is still growing. 

May 12, 2023
Marcelo DiCarli, MD, chief, division of nuclear medicine and molecular imaging, executive director for the cardiovascular imaging program, Brigham and Women's Hospital, discusses how artificial intelligence (AI) is impacting cardiac imaging.

What is the ROI for adopting AI in cardiac imaging?

Marcelo DiCarli, MD, and Rob Beanlands, MD, discussed the long-term value of investing in the development and implementation of AI technologies. 

May 11, 2023
profits revenue finance money

RadNet revising 2023 financial projections, adding capacity amid ‘heavy demand’ for imaging

PET/CT saw the biggest gains, up almost 21% year-over-year compared to Q1 of 2022, with the group collecting $390M in revenue (up 14%). 

May 9, 2023

Imaging giant RadNet earns FDA greenlight for AI-based prostate MRI software

“Quantib Prostate 3.0” offers a suite of tools to help radiologists and urologists improve the quality of their assessments.

May 2, 2023
The Nanox.ARC imaging system

Nanox shares up 63% after scoring FDA clearance for new imaging system

The Nanox.ARC utilizes novel, cold-cathode X-ray tubes and charges physicians using a “pay per scan” business model. 

May 1, 2023
ChatGPT large language models radiology health care

Radiological AI may never dream of interpreting images—but don’t underestimate its virtual cognitive capacity

In the same year three humans first orbited the moon, 1968, the sci-fi writer Philip K. Dick published Do Androids Dream of Electric Sheep? The novel imagined a dark, futuristic society in which real people couldn’t be readily distinguished from lifelike androids.

April 28, 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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