Radiation safety expert Madan Rehani, PhD, commenting on last week’s Smith-Bindman et al study on CT radiation cancer risk.

What are the top three productivity tools radiologists need to meet growing demands for speed, collaboration, and accuracy? Learn from the real-world experiences of clinical and IT leaders from the University of Michigan Health – Sparrow and AGFA HealthCare in this May 8 webinar. Register today!

Imaging Wire Sponsors

AGFA HealthCare  •  Blackford  •  Calantic by Bayer  •  CARPL.ai  •  Clearpath  •  DeepHealth  •  Enlitic  •  Gleamer  •  Intelerad  •  Kailo Medical  •  Mach7 Technologies  •  Medality  •  Merge by Merative  •  Microsoft  •  Optum  •  Philips  •  PocketHealth  •  Prenuvo  •  Riverain Technologies  •  Siemens Healthineers  •  SpinTech MRI  •  United Imaging  •  Us2.ai  •  Visage Imaging

Breast Imaging

Patients Want Mammo AI, But Mostly As Backup

Patients support the idea of having AI review their screening mammograms – under certain conditions. That’s according to a new study in Radiology: Imaging Cancer that could have implications for breast imagers seeking to integrate AI into their practices.

Mammography screening has been identified as one of the most promising use cases for AI, but clinical adoption has been sluggish for reasons that range from low reimbursement to concerns about data privacy, security, algorithm bias, and transparency. 

• Vendors and providers are working on solving many of the problems impeding greater AI use, but patient preference is an often overlooked factor – even as some providers are beginning to offer AI review services for which patients pay out of pocket.

To gain more insight into what patients want, researchers from the University of Texas Southwestern Medical Center surveyed 518 women who got screening mammography over eight months in 2023, finding …

• 71% preferred that AI be used as a second reader along with a radiologist.
• Only 4.4% accepted standalone AI interpretation of their images.
• 74% wanted patient consent before AI review.
• If AI found an abnormality, 89% wanted a radiologist to review their case, versus 51% who wanted AI to review abnormal findings by radiologists.
• If AI missed a finding, 58% believed “everyone” should be accountable, while 15% said they would hold the AI manufacturer accountable. 

Patient preference for use of AI in collaboration with radiologists tracks with other recent research. 

• Patients seem to want humans to retain oversight of AI, and seem to value trust, empathy, and accountability in healthcare – values associated with providers, not machines. 

The findings should also be good news for imaging services companies offering out-of-pocket AI review services. 

• RadNet launched its Enhanced Breast Cancer Detection service in early 2023, and SimonMed in January debuted its Personalized Breast Cancer Detection program. Both offer AI review at a price point of about $40.

The Takeaway

The new findings should be encouraging not only for breast imagers and AI developers, but also for the imaging services companies that are banking on patients to shell out their own money for AI review. As insurance reimbursement for AI languishes, this may be the only way to move mammography AI forward in the short term.

Struggling with Rising Operating Costs?

87% of healthcare imaging leaders identify rising operating costs as a major challenge. This white paper from PocketHealth outlines opportunities to generate cost savings, retain patients, and increase referral volumes. Learn more here.

Visit Enlitic at SIIM 2025

Visit Enlitic at SIIM 2025 at booth #530 to learn about their solutions for data standardization and migration, including their new partnership with GE HealthCare powering the data migration feature in GE’s new Genesis cloud portfolio. Book a demo today.

Opportunistic Detection of CAC and Pulmonary Nodules

Achieve a newfound certainty of search for thoracic CT when using ClearRead CT from Riverain Technologies. It’s a natural addition for opportunistic CAC scoring and nodule detection, or as part of a CT lung cancer screening program.

The Wire

• Surge in Lower Extremity CT: As radiology debates the connection between CT and cancer risk, a new paper found a surge in the rate of foot and ankle CT scans in the emergency setting. Researchers tracked CT orders for 9.8k patients seen from 2016 to 2021, finding that the CT use rate for foot and ankle trauma jumped 175% (2.4% to 6.6%). Meanwhile, the rate of positive findings fell over the same five-year period (95% to 84%), a possible sign of overuse.

• Changes in CT Use: Meanwhile, another new paper found fewer patients are getting multiple CT scans – perhaps in response to radiation concerns. In a study in European Journal of Radiology, researchers analyzed 404k patients from 2013 to 2023, finding that while the number of patients getting CT grew 87%, the percentage getting two or more exams peaked at 43% in 2020 and fell to 39% in 2023. Cumulative effective dose per patient grew 20% over the period, but patients getting 100 mSv or more fell starting in 2020.

• Clearpath Lands California Client: Clearpath signed a new imaging provider in California for its medical image and records sharing technology. Capitol Imaging Services of Sacramento partnered with Clearpath to streamline medical records requests for legal professionals. Clearpath’s technology is designed to enable faster and more secure access for legal requestors and other parties. 

• CT Lung Screening’s Early Detection: Notch another victory for CT lung cancer screening. In the SUMMIT trial, researchers performed low-dose CT screening exams on 12.7k at-risk individuals around London, with a cancer diagnosis rate of 2.0%. CT screening had 97% sensitivity and 93% specificity at 12 months, and 79% of diagnoses were stage I or II. The findings should guide the coming rollout of nationwide lung screening in the U.K. in a program expected to generate 1M scans by 2030. 

• Canon Shows Standing CT: Canon Medical Systems demonstrated a CT scanner with a pivoting gantry for scanning standing patients at this month’s JRC 2025 conference in Japan. Aquilion Rise’s gantry can rotate 90° and move up and down for patients either sitting or standing. The scanner is designed for conditions like spondylolisthesis that might be best visualized with standing patients. Further details are sketchy and it’s not clear if Canon will sell the system outside of Japan. 

• AI Lung Screening Triage: Using AI to prescreen and triage suspicious CT lung cancer screening exams for radiologist interpretation was the best of three AI use scenarios in an AJR study from South Korea. Researchers used Monitor’s LuCAS-Plus algorithm in 366 people screened in 2017, finding that AI triage compared to no AI had a lower recall rate (21% vs. 22%), faster interpretation time (143 vs.164 seconds) and higher specificity (90% vs. 89%) with no difference in sensitivity. Other AI scenarios showed no improvement. 

• AI for Emergency Chest X-Ray: Gleamer’s ChestView AI algorithm improved clinician sensitivity for detecting abnormalities on chest X-rays in the emergency setting. In a study in Diagnostic and Interventional Imaging of 404 patients in France, clinicians using ChestView had higher sensitivity than those who didn’t (83% vs. 74%). Improvement varied by abnormality, with AI having the biggest impact on nodule detection (+30 percentage points). There was no statistically significant difference in specificity, but AI’s standalone specificity was greater than 89% for all abnormalities. 

• New Nanox Tomo X-Ray Cleared: Israeli digital X-ray developer Nanox got FDA clearance to market an updated version of its multi-source tomographic digital radiography technology. Nanox.ARC X is based on the company’s tomosynthesis and cold-cathode X-ray tube technology, but features a new streamlined design in a single-unit system that reduces its physical footprint. Nanox will offer the new system alongside its previous version, Nanox.ARC. 

• LUMA Cardiac Navigation Cleared: LUMA Vision is set to sell its Verafeye visualization platform in the U.S. after getting FDA 510(k) clearance. The solution is a catheter-based ultrasound imaging system that provides real-time 2D and 4D 360° intracardiac visualization to aid clinicians during interventional electrophysiology and structural heart procedures. LUMA raised $22M last year to support Verafeye’s FDA application and prepare for U.S. commercialization.

• Yunu Raises Funds: Clinical trial technology provider Yunu secured a new investment in an oversubscribed funding round that Yunu will use to grow its network of pharmaceutical sponsors and research site customers. Pharmaceutical companies are turning to medical imaging to help them monitor the results of oncology drug candidates more quickly, and Yunu’s platform makes it easier to incorporate imaging into clinical trials. The value of the investment round was not disclosed, but sources said it doubled Yunu’s capitalization.

• Imidex Sells AI Assets: AI developer Imidex sold the assets related to its VisiRad XR AI algorithm and associated intellectual property to an undisclosed buyer. VisiRad XR got FDA clearance in 2023 for detecting lung nodules as small as 6 mm on chest X-rays with 83% sensitivity, but the company prior to RSNA 2024 announced it was planning to divest the technology. The move highlights the challenges faced by small AI developers in achieving commercial success for their algorithms.

• Impact of Tariffs on Imaging Vendors: What impact will the Trump Administration’s tariffs have on the medical imaging industry? It’s still hard to tell, but radiology recruiter Jay Gurney took a crack at it in a LinkedIn post. Gurney noted that GE HealthCare, Siemens Healthineers, and Philips all have imaging manufacturing plants in Mexico, while hardware like GPUs, servers, and edge devices rely on imported components. Tariffs could also affect sales of software like AI because these offerings are often bundled with hardware installations. 

Incorporating Digital Pathology in Your Enterprise Imaging Strategy

As digital pathology exams grow in size and complexity, healthcare organizations face increasing challenges. Attend this Mach7 Technologies webinar on May 8 to hear real-world experiences from the University of Michigan on how they unified radiology and pathology.

Get Your Head Around AI for Neuroradiology

Check out the latest blog from Blackford on how advances in deep learning algorithms for neurology imaging are improving outcomes and easing the burden on radiologists.

Revolutionizing 3D Imaging

Learn how Visage Imaging is revolutionizing 3D imaging for radiology with its Visage Ease VP solution for the Apple Vision Pro headset in this video with Steve Deaton, director of customer experience.

The Resource Wire

• The Transformative Role of AI in Radiology: In this episode of The Radiology Report Podcast, Medality’s Daniel Arnold sits down with Dr. John Simon, who shares his insights into the transformative role of AI in radiology and its ability to enhance efficiency, improve patient care, and unlock new diagnostic possibilities. 

• Visit Kailo Medical at SIIM 2025: Learn about the latest synoptic reporting solutions by visiting Kailo Medical at booth #539 at SIIM 2025. Book an appointment today to find out how their technology can make radiology reporting easier while maximizing efficiency. 

• A Triple-Award KLAS Win: AGFA HealthCare is celebrating a remarkable triple win in the Best in KLAS awards, achieving two #1 awards for their XERO viewer and VNA alongside the KLAS Most Improved Software Product for 2025. Learn more about their solutions today. 

• Aortic Stenosis AI Echo Assessment: In a first-of-its-kind study, AI echo from Us2.ai accurately quantified aortic stenosis severity with no human input beyond image acquisition. Learn more about this important research today. 

• Seamless, Connected Healthcare: Clearpath is committed to facilitating seamless, continued healthcare by optimizing automation and workflows between patients and providers. Learn how the company’s solutions contribute to a healthcare environment where every step of the patient journey is connected and efficient.

• Celebrating Happy Customers: There’s nothing better than happy customers. Find out what radiology personnel at Western New York MRI in Buffalo had to say about their new uMR 680 scanner from United Imaging.

• Ranked #1 Best in KLAS for 3 Consecutive Years: Named Best in KLAS 2025, Microsoft’s PowerShare earns praise from clinicians and other imaging stakeholders for seamless medical image exchange. Hear how it’s benefiting customers and patients.

• What’s Next for AI for Cancer Detection? AI is transforming the fight against cancer by enabling faster and more accurate cancer detection. Read this article from DeepHealth to learn how the company is pioneering new ways to advance cancer screening and broader imaging-based care.

• Preparing for the Future of Enterprise Imaging: What do health IT and imaging leaders need to know about moving medical images to the cloud? Find out how to prepare for enterprise imaging’s future in this downloadable e-book from Optum. 

• Intelligent Imaging Ensures Efficient Workflow: Learn how intelligent imaging can help address challenges in radiography workflow – such as higher workloads and fewer staff – in this downloadable white paper from Siemens Healthineers. 

• Presenting Unboxing AI: Check out CARPL’s video series, Unboxing AI, featuring experts discussing AI and its future in radiology. The next episode on April 24 features Allen Hundley of Riverain Technologies  – reserve your seat today. 

• Connect with Intelerad at SIIM 2025: Join Intelerad at booth #533 at SIIM 2025 to learn how they are redefining healthcare imaging with innovative solutions designed to provide a clear path to answers. Schedule your visit today. 

• AI for Hip Morphology Assessment: A new study validates the accuracy of Gleamer’s BoneMetrics AI solution for hip and pelvic assessment. BoneMetrics turned in high levels of accuracy and reproducibility – find out how it can simplify your daily and routine measurements. 

• Visit Philips at ISMRM 2025: Philips will be showcasing its AI-driven connected imaging, optimized workflows, and integrated clinical solutions for MRI at ISMRM 2025. Schedule a meeting or drop by at booth #D41. 

• Discover AI Apps Curated by Body Regions: Discover how Calantic Digital Solutions by Bayer supports you in tackling radiology challenges through multiple stages of the patient’s journey by offering AI solutions curated for specific body regions. Learn more about Calantic today. 

• 2 Questions about AI for Radiology Leaders: Are today’s radiology AI solutions solving the right problems? And are there other solutions available for AI of brain MRI? Read this article from SpinTech MRI to learn how their STAGE solution can optimize MRI utilization. 

• Unprecedented Insights Made Possible with AI: With the largest normative dataset of whole-body imaging in the world, Prenuvo’s AI researchers partner with the best academic minds to understand – like never before – what “normal” aging means. Learn about their work today.

The Industry Wire

1. Stem cells could help with Parkinson’s.
2. CDC scraps Texas measles response over layoffs.
3. UnitedHealth’s struggles with Medicare Advantage in Q1.
4. Staffing and funding cuts could impact physician shortage.
5. Budget draft plans to cut HHS funds by one-third.
6. CMS rejects Humana’s MA star ratings appeal.
7. Supreme Court braces for ACA coverage suit.
8. Harvard’s ALS research funding frozen.
9. Vaccine panel recommends expanded RSV use.
10. ‘Blue sky’ research most impacted by budget cuts.