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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Patient advocacy groups urge Congress to create pathway for CMS to cover AI in radiology

The FDA has OK'd nearly 900 AI-enabled medical devices, but CMS has only assigned payment for about 10 of them. 

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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.

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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. 

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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. 

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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. 

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.

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. 

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). 

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Around the web

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.