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Who Owns AI Regulation, Imaging’s Cancer Risks, and NPP Repeats September 22, 2025
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Together with
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“If the public outcry was loud enough, a state could decide to authorize the use of an AI algorithm in direct contradiction of federal law…. If the experiment was a success, other states may follow the example of the earlier adopter state, leading to a slow state-by-state cascade of AI authorizations.”
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Kulkarni S. et al, in an Academic Radiology article on state-level AI regulation.
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Could states take over AI regulation from the FDA as a possible solution to the growing workforce shortage in radiology? It may seem like a wild idea at first, but it’s a question proposed in a special edition of Academic Radiology focusing on radiology and the law.
Healthcare’s workforce shortage is no secret, and in radiology it’s manifested itself with tight supplies of both radiologists and radiologic technologists.
- AI has been touted as a potential solution to lighten the workload, such as by triaging images mostly likely to be normal from requiring immediate radiologist review.
And autonomous AI – algorithms that operate without human oversight – are already nibbling at radiology’s fringes, with at least one company claiming its solution can produce full radiology reports without human intervention.
- But the FDA is notoriously conservative when it comes to authorizing new technologies, and AI is no exception. So what’s to stop a state facing a severe radiologist shortage from adopting autonomous AI on its own to help out?
The new article reviews the legal landscape behind both constitutional and state law, finding examples in which some states have successfully defied federal regulation – such as by legalizing marijuana use – if the issue has broad public support.
But the authors eventually answer their own question in the negative, stating that it’s not likely states will usurp the FDA’s role regulating AI because…
- The U.S. Constitution’s Supremacy and Commerce clauses ensure federal law will always supersede state law.
- If AI made an error, malpractice regulation would be murky given a lack of legal precedent at the state level.
- Teleradiologists could opt out of providing care to a state if AI regulations were too burdensome – which could exacerbate the workforce crisis.
The Takeaway
Ultimately, it’s not likely states will take over AI regulation from the FDA, even if the healthcare workforce shortage worsens significantly. But the Academic Radiology article is an interesting thought experiment that – in an environment in which U.S. healthcare policies have already been turned upside down – may not be so unthinkable after all.
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Transform Imaging Data into Actionable Predictions
When you choose Quibim, you get more than a partner for detecting and diagnosing prostate cancer on MRI scans. Learn how they can help you transform imaging data into actionable predictions by booking a demo today.
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Validating AI at Scale
Radiology Partners leveraged CARPL to benchmark four MSK AI models, reducing ground truthing workload and enabling same-day validation. Learn how RadPartners benchmarked AI.
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- NPP Repeats: The number of imaging studies read by non-physician practitioners is on the rise, and a recent Neiman HPI study suggests that this trend leads to far more repeat imaging exams. The analysis of 1.3M Medicare claims (2013–2022) found patients were more likely to undergo repeat scans within 90 days if their initial exams were read by NPs or PAs, versus radiologists. NPP-read exams’ adjusted odds of repeat imaging were +35% for X-ray, +141% for ultrasound, and +156% for MRI.
- Siemens and Stryker’s Neuro Alliance: Siemens Healthineers and Stryker are teaming up to build a first-of-its-kind robotic neurovascular system. The alliance combines Siemens’ imaging and robotics expertise with Stryker’s neurovascular devices, and will target a range of neuro procedures (specifically naming stroke and aneurysm), with the goals of improving access speed, precision, and outcomes. Siemens and Stryker’s early work will focus on co-developing the integrated ecosystem, and validating its performance.
- Pediatric Imaging’s Blood Cancer Risks: This week brought yet another alarming study on the downstream cancer risks of imaging radiation. A NEJM study of 3.7M kids from six U.S. and Canadian health systems estimated that ~10% of pediatric blood and bone marrow cancers (nearly 3,000 cases) stemmed from imaging radiation. Over a 10-year follow up, the risk of blood cancers was 1.41x higher for kids exposed to 1-5 mGy of radiation, 1.8x higher with 15-20 mGy, and 3.5x higher with 50-100 mGy exposure.
- Cerebriu’s Big Milestones: MRI AI startup Cerebriu achieved two big milestones, announcing the European CE marking of its Apollo Smart Protocol when embedded in Siemens MRI systems, and landing a €9.4M funding round (total raised now €26.8M). As its name suggests, Apollo Smart Protocol adapts MRI scanning protocols in real time based on detected pathologies, improving scan personalization, efficiency, and completeness. Cerebriu is now setting its sights on global expansion, including a potential FDA clearance.
- CT for Head Trauma Grows with Age: New research highlights the risk of CT overuse in assessing patients with possible head trauma, particularly in older patients. In a study at ACEP Research Forum 2025 of 80.2k patients with mild head injury (2016-2024), 57% got head CT scans. Scan rates went up with patient age (18-64 = 48%, 65-74 = 81%, 75-84 = 87%, and 85+ = 91%), but severe TBI prevalence was more common in younger people (3.8%, 3.3%, 2.9%, and 2.6%, respectively).
- Artrya’s Salix Funding: CCTA AI startup Artrya completed a $53M ($80M AUD) follow-on equity offering to support the U.S. launch of its FDA-approved Salix platform for coronary plaque detection. The fundraising comes just a few months after Salix’s FDA clearance, making Artrya yet another competitor in the rapidly growing CCTA AI plaque detection segment. The funding is also another sign of investors’ faith in CCTA AI startups, which continue to raise sizable rounds (and hefty IPOs) despite slowing investments in other imaging AI segments.
- AMA Releases CPT 2026 Code Set: The AMA just dropped the CPT 2026 code set, which included 418 total changes – 288 new codes, 84 deletions, and 46 revisions. Advanced lab tests and CPT III codes made up the largest share of new codes (both 27%). Notable medical imaging inclusions were new AI codes for analyzing CCTAs to assess coronary plaque and to perform perivascular fat analysis.
- Total-Body PET for Long COVID: Researchers at the University of California, Davis received a $3.2M NIH grant to use total-body PET to study the effects of long COVID. Total-body PET with United Imaging’s uEXPLORER scanner was pioneered at the university, and UC Davis researchers will work with UC San Francisco investigators on kinetic modeling of long COVID, specifically how activated immune T cells penetrate organs and tissues, as well how long COVID damages the inner lining of blood vessels.
- PocketHealth Report Explanations: PocketHealth announced the full North American rollout of its plain-language report explanations feature, which comes integrated into its Unlimited plan and has already been used by 100k patients. The feature leverages AI to provide detailed explanations written at a high school reading level, which are positioned alongside the original radiology report. Radiology reports are intended for other clinicians, but patients are definitely seeing them and getting confused, making this a very logical and patient-friendly feature.
- Multimodal R-AAOCA Exams: A new JAMA study suggests that combining CCTA and functional nuclear imaging might be a better option for assessing right anomalous aortic origin of a coronary artery (R-AAOCA), a relatively rare congenital heart condition that’s currently assessed with invasive FFR exams. In the 55-patients study, CCTA achieved 100% sensitivity and 57% specificity, ruling out 42% of R-AAOCA cases. Functional nuclear imaging then filled in the gaps, achieving 100% specificity and 27% sensitivity, thus reducing the number of patients who need invasive testing.
- ASNC Stands Up to Reimbursement Cuts: The American Society of Nuclear Cardiology advocated against the proposed 57% Medicare reimbursement cut for cardiac amyloidosis imaging. The 2026 reduction would slash payments from $1,300 to $558 per exam due to CPT code 78803’s reassignment to a lower-paying category. The ASNC’s President-elect warned that this threatens access to potentially life-saving diagnostics for an underdiagnosed disease with effective therapies.
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Patient-Centered Innovation with Photon-Counting CT
Siemens Healthineers is committed to transforming medical imaging with its NAEOTOM Alpha class, now featuring three photon-counting CT systems. Find out how they can enhance your diagnostic results.
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Echo AI Automation Improves Sonographer Workflow
The use of AI-based automated tools enhanced the efficiency of screening echocardiography, reducing exam times despite a 3.4-fold increase in parameters measured. Discover how it was done on this page from Us2.ai.
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- Easily Share Patient Images and Reports: Physicians can easily share patient images and reports from a personal worklist using Intelerad’s InteleShare Physician Portal. Discover how easily it works in this self-guided demo.
- Innovative Mobile Radiography Solutions: The University of Vermont Medical Center prioritizes patients when it comes to advanced diagnostic imaging tools. Read how they rely on Philips for innovative mobile radiography solutions, prompt response times, and a community focus to deliver superior patient care.
- A New Solution for Chest AI: Gleamer’s ChestView AI solution is a computer-aided detection (CADe) model cleared by the FDA for simultaneously detecting multiple findings on chest X-ray. Discover how it enhances explainability and confidence compared to traditional triage-focused CADt solutions.
- What Does Improved MRI Efficiency Mean? There’s a growing need for practical, cost-effective solutions to improve efficiency in MRI and other modalities. Read this article from Karen Holzberger of SpinTech MRI and James Backstrom, MD, to learn how the company’s STAGE software can help.
- Radiology Practice Models Explained: Radiologist Kurt Schoppe, MD, isn’t afraid to speak his mind, so listen to this episode of Medality’s Radiology Report Podcast to hear his take on healthcare policy and economics.
- Optimize Radiology Workflows: Harness cloud and AI technology to help your radiology teams unlock insights, increase efficiencies, and improve patient care. Learn more about an integrated approach to AI in radiology in this e-book from Microsoft.
- Redefining Breast Imaging in the Enterprise Era: As breast imaging grows more complex, radiology teams need more than siloed tools. Watch this on-demand webinar hosted by AGFA HealthCare about transforming breast imaging workflows in the enterprise imaging era.
- Elevating Generative Reporting to the Web: Learn about the next leap in patient-focused diagnostic imaging with KailoFlow, the web-based evolution of Kailo Medical’s generative structured reporting platform that combines progress, innovation, and accessibility.
- Equitable Study Distribution with an Automated Worklist: Automated worklist functionality can distribute medical imaging studies more equitably than manual study selection. Discover how Merge Workflow Orchestrator enabled one institution to achieve balance in this downloadable white paper.
- Introducing Voice-Controlled Interventional X-Ray: United Imaging’s uAngio AVIVA is the industry’s first intelligent voice-controlled interventional X-ray system, enabling interventional staff to keep their focus where it belongs: on the patient. Discover AVIVA’s advantages on this page.
- The Advantages of Cloud-Based PACS: CloudPACS offers significant advantages to healthcare providers for enterprise imaging, including no on-premise requirements and enhanced reliability. Learn more about the advantages of CloudPACS in this talk from HIMSS 2025 by Visage Imaging’s Steve Deaton.
- Unifying All Your Diagnostic Images: The Mach7 eUnity enterprise diagnostic viewer can unify all your images and solve your integration needs under one universal viewing platform. Find out how you can upgrade your enterprise visualization strategy today.
- AI Tools for Lung Cancer Screening: CT lung cancer screening is gaining momentum around the world. Learn about AI-based nodule detection tools that can improve the accuracy of low-dose CT scans in this video from Riverain Technologies.
- 5 Data Migrations Myths You May Still Believe: Many healthcare organizations fall victim to data migration myths that derail their efforts, waste valuable resources, and put their business at risk. Learn about five common myths and how they cost you in this article from Laitek, an Enlitic portfolio company.
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