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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Radiologist-founded startup Rad AI raises $50M in Series B financing

The company, which offers software to help physicians save time and alleviate burnout, will use the funds to expand global availability of its generative AI solutions.

May 8, 2024
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Lack of reimbursement hindering AI adoption, American College of Radiology warns Congress

Determining how to reimburse for healthcare artificial intelligence is likely to be a “complex policy challenge,” CEO William T. Thorwarth Jr., MD, wrote May 6. 

May 8, 2024

What the Biden administration’s artificial intelligence executive order means for radiology

“Radiologists themselves can and should play a key role in policy creation at every level," members of the specialty wrote in JACR

April 26, 2024
Humana

Humana expands use of automated prior authorization software into diagnostic imaging

The Louisville, Kentucky-based payer first partnered with vendor Cohere Health in 2021 to launch a pilot program in 12 states. 

April 25, 2024
Dave Walker explains how AI is helping improve the revenue cycle in radiology. #RBMA #RBMA24 #RBMA2024

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.

April 22, 2024
ChatGPT large language models radiology health care

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. 

April 16, 2024
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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). 

April 11, 2024
MIMneuro MIM Software

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. 

April 3, 2024

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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