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AI helps appeal denied imaging claims | Algorithm discerns supplemental imaging needs | Opportunistic AI spots CRC on CT scans

News You Need to Know Today
AI helps appeal denied imaging claims | Algorithm discerns supplemental imaging needs | Opportunistic AI spots CRC on CT scans
Thursday, May 28, 2026
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Editor's Choice: Artificial Intelligence

Large language models offer potential for helping appeal denied radiology claims

Although large language models produce appeals letters that are generally deemed useful by readers, they likely still require a babysitter, according to a new analysis.

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insurance insurer payment claim denial reimbursement prior authorization
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Large language models offer potential for helping appeal denied radiology claims

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insurance insurer payment claim denial reimbursement prior authorization
Although large language models produce appeals letters that are generally deemed useful by readers, they likely still require a babysitter, according to a new analysis.
READ MORE >

Radiologist-AI combo has highest potential to improve pulmonary embolism detection, experts charge

In new Neiman Health Policy Institute research, scientists explored the use of artificial intelligence to aid in diagnosing PE on CTPA, with “AI-informed radiologists" scoring high marks. 

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chest pain lung pulmonary embolism
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Radiologist-AI combo has highest potential to improve pulmonary embolism detection, experts charge

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chest pain lung pulmonary embolism
In new Neiman Health Policy Institute research, scientists explored the use of artificial intelligence to aid in diagnosing PE on CTPA, with “AI-informed radiologists" scoring high marks. 
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AI use in MRI-based prostate cancer screening remains limited

New findings question the use of artificial intelligence in these settings due to numerous shortcomings, including issues with overdetection and low specificity.

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prostate PSMA
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AI use in MRI-based prostate cancer screening remains limited

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prostate PSMA
New findings question the use of artificial intelligence in these settings due to numerous shortcomings, including issues with overdetection and low specificity.
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Why RadNet is betting heavily on AI to reshape radiology workflows

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

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Howard Berger, MD, RadNet chairman and CEO, discusses why the company has invested millions into DeepHealth to rapidly build up a new business model for artificial intelligence capabilities in radiology. #RSNA #HealthAI #ClinicalAI #Radiology
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Why RadNet is betting heavily on AI to reshape radiology workflows

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Howard Berger, MD, RadNet chairman and CEO, discusses why the company has invested millions into DeepHealth to rapidly build up a new business model for artificial intelligence capabilities in radiology. #RSNA #HealthAI #ClinicalAI #Radiology
RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.  
READ MORE >

SimonMed Imaging launches new add-on AI services with extra out-of-pocket charges

The Scottsdale, Arizona-based radiology practice said Monday it’s seeking to scale AI across all routine imaging, hoping to deliver “preventive insights nationwide.”

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MRI simonmed simonONE
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SimonMed Imaging launches new add-on AI services with extra out-of-pocket charges

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MRI simonmed simonONE
The Scottsdale, Arizona-based radiology practice said Monday it’s seeking to scale AI across all routine imaging, hoping to deliver “preventive insights nationwide.”
READ MORE >

American College of Radiology Council approves ‘groundbreaking’ framework for assessing AI

Leaders voted to OK the new Practice Parameter for Imaging Artificial Intelligence during ACR’s annual meeting, being held in Washington, D.C. 

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artificial intelligence
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American College of Radiology Council approves ‘groundbreaking’ framework for assessing AI

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artificial intelligence
Leaders voted to OK the new Practice Parameter for Imaging Artificial Intelligence during ACR’s annual meeting, being held in Washington, D.C. 
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AI model helps discern patients' need for supplemental breast imaging

New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy. 

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Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA
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AI model helps discern patients' need for supplemental breast imaging

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Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy. 
READ MORE >

AI model bests radiologists at detecting early signs of pancreatic cancer

The AI framework was designed to identify radiomic signatures of pre-diagnostic pancreatic ductal adenocarcinoma on CT.

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AI helps spot pancreatic cancer over a year before radiologists can
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AI model bests radiologists at detecting early signs of pancreatic cancer

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AI helps spot pancreatic cancer over a year before radiologists can
The AI framework was designed to identify radiomic signatures of pre-diagnostic pancreatic ductal adenocarcinoma on CT.
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Opportunistic AI detects colorectal cancer using routine, noncontrast CT

The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC. 

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colorectal cancer colon CTC CRC colonoscopy
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Opportunistic AI detects colorectal cancer using routine, noncontrast CT

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colorectal cancer colon CTC CRC colonoscopy
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC. 
READ MORE >

What makes AI a friend, foe or time thief in radiology?

Patricia Balthazar, MD, Emory University School of Medicine, says radiology AI needs to be monitored to ensure it is performing as it is supposed to and not wasting time and money.

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Patricia Balthazar, MD, MPH, is an Assistant Professor of Radiology and Imaging Sciences at Emory University School of Medicine, Divisions of Abdominal Imaging and Imaging Informaticsm explains if AI in radiology is a friend foe or time thief.
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What makes AI a friend, foe or time thief in radiology?

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Patricia Balthazar, MD, MPH, is an Assistant Professor of Radiology and Imaging Sciences at Emory University School of Medicine, Divisions of Abdominal Imaging and Imaging Informaticsm explains if AI in radiology is a friend foe or time thief.
Patricia Balthazar, MD, Emory University School of Medicine, says radiology AI needs to be monitored to ensure it is performing as it is supposed to and not wasting time and money.
READ MORE >

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