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AI and Radiology Trainees, USPSTF Purge, and Lantheus Takeover
May 28, 2026
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“I don’t believe AI will replace good physicians, because medicine is far more than information retrieval and Q&A. But … the first real shift may not be happening where we expected. In many ways, we might soon all have a doctor in our pockets, and primary care may be forced to reinvent itself faster than expected.”

Amine Korchi, MD, on AI’s disruption of healthcare.

Legacy radiology reporting platforms are being sunset this year, giving imaging providers the rare opportunity to upgrade their operating model with a modern, AI-powered platform. In this contribution from CIVIE, learn how their CIVR platform can turn a mandatory technology shift into a better business advantage.

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Artificial Intelligence

Does AI Still Scare Off Radiology Trainees?

Is AI still scaring off medical students from picking radiology as a specialty? A new study in Academic Radiology found that while prospective radiology trainees don’t seem as worried as they were after radiology AI burst onto the scene in 2015, they still have concerns about how AI will affect the profession. 

Radiology has long been seen as the medical specialty most at risk of broader AI adoption, largely because early AI applications focused primarily on image analysis.

  • These fears led to a widely publicized dip in radiology residency applications after 2016, the year after IBM Watson debuted at the RSNA show and when AI guru Geoffrey Hinton, PhD, issued his famous advice to stop training radiologists. 

But interest in radiology rebounded shortly after that. AI adoption was slower than anticipated, and few hospitals have proven willing to turn over radiologists’ duties to computers. 

  • Given the changes, how have the attitudes of medical students toward AI evolved in the last 10 years? Researchers decided to survey Canadian medical students and residents to find out.

In all, 401 respondents replied to the survey, of whom 13% had ranked radiology as their top specialty choice, with the following findings…

  • Only 2.5% said AI was “extremely influential” in affecting their specialty choice, with 57% saying it had a “slight/moderate impact” and 35% stated “no impact.”
  • AI was more important for those ranking radiology in their top three, with 91% saying AI influenced their decision compared to 54% of those uninterested in radiology. 
  • For those interested in radiology, 33% said AI made them feel discouraged, 13% were encouraged, and 33% reported no AI influence.
  • Those who believed AI would reduce radiologist demand were 50% less likely to be interested in a radiology career.

How to interpret the results? The authors felt the findings showed that AI had either no influence or a slight/moderate effect on specialty choice, but the impact was greater in those who were interested in radiology. 

  • They also saw a “growing polarization” among trainees, in that while many viewed AI as a threat to their job security, some saw it as an opportunity for innovation. 

The Takeaway

Medical students have complex and nuanced attitudes toward AI in radiology, as the new study indicates. But the findings suggest that past fears of radiology AI have evolved into a more measured view that better reflects real-world AI adoption.

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The Wire

  • RFK Jr. Dismisses USPSTF Leaders: In a sign of major upcoming changes at the USPSTF, HHS Secretary Robert F. Kennedy, Jr. dismissed two of the advisory group’s leaders, vice chairs John Wong, MD, and Esa Davis, MD. The USPSTF consists of volunteer clinicians who provide guidance on preventive medical services like mammography screening. The USPSTF usually meets three times a year, but the group hasn’t convened since March 2025 as RFK Jr. ponders changes to align it more closely with his Make America Healthy Again agenda.
  • Moving Forward with Modern Reporting: Legacy radiology reporting platforms are being sunset this year, giving imaging providers the rare opportunity to upgrade their operating model with a modern, AI-powered platform. In this contribution from CIVIE, learn how their CIVR platform can turn a mandatory technology shift into a better business advantage, with cleaner reports, better enterprise security and AI safety, and real-time operational visibility and efficiency. 
  • Lantheus Mulls Takeover Bid: Radiopharmaceutical provider Lantheus is evaluating its options after getting a takeover offer from Curium Pharma. As first reported by Bloomberg, Curium offered to acquire Lantheus in an acquisition valuing the company at $7B. Lantheus is one of the largest suppliers of radiopharmaceuticals, although in January 2026 it sold its SPECT tracer business to SHINE in order to focus on PET tracers such as its Pylarify PSMA-PET tracer for prostate cancer. Most recently, the FDA said it needed extra time to review Lantheus’ LNTH-2501 PET tracer. 
  • Subtle Medical’s New Clearance: Subtle Medical received FDA clearance for SubtleHD, the newest generation of the company’s PET image enhancement technology. The new solution builds on the company’s SubtlePET offering, with up to a 75% reduction in PET acquisition times, greater accuracy for SUVmax quantification, and an adjustable denoising level. It also features improved compatibility with FDA-approved PET radiotracers, including the emerging generation of molecular imaging agents that expand beyond FDG-based tracers.
  • RSNA’s New Publishing Partnership: RSNA is outsourcing the publishing of five journals to academic publishing giant Wolters Kluwer under a new 10-year agreement. RSNA has been publishing the journals itself for decades, but the new relationship is expected to make its content available more broadly through vehicles like Wolters Kluwer’s Ovid research support platform. RSNA will also move to Wolters Kluwer’s article submission and production platform. The contract includes Radiology, Radiology: Artificial Intelligence, Radiology: Cardiothoracic Imaging, Radiology: Imaging Cancer, and RadioGraphics. 
  • What Works for Radiologist Burnout: Can departmental-level wellness programs really move the needle when it comes to reducing radiologist burnout? In a new paper in Clinical Imaging, researchers measured the effectiveness of their program based on six interventions, such as in-person leadership rounding visits, quarterly listening forums, and early career onboarding check-ins. Based on satisfaction surveys of 211 radiologists using a five-point scale, the program improved engagement (from 3.67 to 4.12) as well as administrative alignment (from 3.38 to 4.11).
  • CT Technologies Duel in the Brain: Photon-counting CT has proven advantages over conventional energy-integrating-detector CT in many anatomical areas. But what about the brain? In a new paper in Academic Radiology, German researchers compared PCCT to a modern EID scanner (both from Siemens Healthineers) for non-contrast brain CT in 428 patients. At a comparable radiation dose, PCCT rated better for noise and overall image quality on a five-point scale (4.60 vs. 3.94 and 4.43 vs. 4.08, respectively), but several objective quantitative parameters favored EID-CT.
  • Proposed Prostate Cancer Downgrade: As attention turns to wider adoption of prostate cancer screening, clinicians are proposing to downgrade the terminology for describing low-risk lesions to classify them as precancerous. In a research letter in JAMA Oncology, they tested a statistical model in which grade group 1 lesions were characterized as precancerous rather than cancer. They found that the terminology downgrade would avoid 6X more prostate cancer deaths than might be caused by any delays in diagnosis (2.8k vs. 452). 
  • CEM Differentiates DCIS: How to manage DCIS detected on screening mammography can be a dilemma. But contrast-enhanced mammography can help by differentiating high-grade from low-grade findings. In a new study in Clinical Radiology, researchers from China performed preoperative CEM in 190 patients, finding that compared to conventional low-energy mammography, CEM had higher sensitivity in differentiating low-grade DCIS (83% vs. 61%) and high-grade DCIS (94% vs. 84%). CEM was also able to differentiate characteristics like calcifications and lesion size that can indicate DCIS grade.
  • Few AI Vendors File PCCPs for Algorithms: More AI developers are filing predetermined change control plans with the FDA for their algorithms, but use of the PCCP program is still very low.  The PCCP program enables AI developers to change authorized algorithms without filing new paperwork, but a new analysis in JAMA Health Forum found only 5.4% of nearly 800 AI-enabled medical devices had PCCP plans on file at the end of 2025. But the ratio appears to be accelerating, with 9.7% of algorithms including PCCP documentation in the fourth quarter. 
  • NewVue Adds Native Reporting: Radiology workflow software developer NewVue added a native reporting capability to its Radiologist Cockpit worklist software. The addition enables radiologists to use the same software for both worklist and reporting, eliminating the need to switch applications for different tasks and creating a unified interpretation environment while interfacing with a radiology site’s existing PACS. Companies like NewVue are looking to take advantage of the market opportunity created by Microsoft’s decision to sunset its PowerScribe 360 reporting software. 
  • Australia’s I-MED Agrees to $2.4B Acquisition: Australia’s largest private radiology services provider is being acquired by a Hong Kong-based investment firm. Private equity company Permira is selling its stake in I-MED Radiology Network to Jardine Matheson Holdings for an estimated $2.4B, settling months of rumors about I-MED’s future. I-MED operates 215 imaging centers in Australia and New Zealand. Permira acquired I-MED in 2018, and under its ownership the company made heavy investments in AI, such as buying an equity stake in AI company Harrison.ai.
  • 4DMedical Guides Lung Reduction: 4DMedical’s quantitative CT-derived metrics of lung function guided patient selection for lung reduction surgery in a presentation at ATS 2026. Researchers used 4DMedical’s technology, including its CT:VQ technique, to assess metrics of emphysema and lung perfusion in patients scheduled for lung volume reduction surgery. Adding 4DMedical functional data improved patient selection and increased successful outcomes (from 48% to 76%).
  • CT Lung Screening Testing Burden: Fear of downstream testing has held back broader adoption of CT lung cancer screening. But is this concern valid? A new study in JACR queried 468 people a week after they got lung screening scans, finding minimal short-term test-related complications. On a 100-point scale with 100 indicating no problems, people who got lung screening at either a university or safety-net site reported high mean scores (98 and 96, respectively), higher than scores for prostate biopsy or diagnostic mammography (95 and 91, respectively). 
  • ‘Supermarket Scanning’ Detects Lung Cancer: The U.K.’s NHS is highlighting the success of its mobile CT lung cancer screening program, which includes mobile screening vans in supermarket car parks and sports stadiums. Mobile imaging trucks are a major part of the NHS Lung Cancer Screening Programme, which was launched in 2019 and has detected 10.7k lung cancers so far – over three-quarters at stage 1 or 2. The first phase of the project has focused on underserved areas, with a nationwide rollout targeted for 2030.

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The Resource Wire

  • Connect Imaging Across Every Care Setting: Join Intelerad at SIIM 2026 to learn how you can connect across every care setting, eliminate disks, and accelerate diagnosis with a network clinicians trust. Book a demo today or drop by booth #305. 
  • See What’s Next in Molecular Imaging at SNMMI: The future of molecular imaging Is arriving at booth #2231 at SNMMI 2026, where United Imaging will show the new uMI Panvivo PET/CT family and uMI Panorama PET/CT line. Schedule an on-site meeting today.
  • AI Echo Tracks Progression of Cardiac Amyloidosis: A recent study evaluated over 750 echocardiograms from patients with transthyretin cardiac amyloidosis (ATTR-CM) using Us2.ai software to track structural and functional heart changes over time. Find out how well it worked on this page.
  • Connected Imaging. Empowered Flow: Know those rare and indescribable moments at work when distractions melt away? AGFA HealthCare’s Enterprise Imaging Platform is designed to keep you in that hyper-focused state of mind all day long. Learn more about their solutions today. 
  • The Future of Teleradiology Starts Here: Is your radiology team ready for growing demand? Merge Imaging Suite for Teleradiology helps remote radiologists work faster, smarter, and more securely – 24/7. Reach out to learn more.
  • Driving Advances in Lung Health Through Early Detection: Earlier detection of chest conditions leads to more effective treatments and patient outcomes. Learn more about lung diseases, the impact of early detection, and tools from Riverain Technologies to improve detection accuracy and efficiency. 
  • AI-Powered Referral Automation: Radiology teams are drowning in referrals, and a huge chunk of that burden is purely administrative. Kailo Medical built a solution to fix that: An AI-powered referral automation workflow that handles the full intake process. Find out how it works today. 
  • What Can 3D Offer Your MSK and Trauma Workflow? Explore clinical applications and real-world insights in this whitepaper from Siemens Healthineers about distortion-free X-ray imaging in sagittal, coronal, and axial planes plus rendered bone volumes that can support confident diagnoses without magnification issues. 
  • Therapy + Diagnostics = Renewed Hope: Theranostics is experiencing an exponential and global expansion as radioligand therapies give hope when other strategies have failed. Learn more about theranostics on this page from GE HealthCare. 
  • Building Bridges Across Imaging Informatics: Visit Medicom at booth #615 at SIIM 2026 to see how their automated workflows move every image to where it needs to go, connecting patients, providers, EHRs, and research teams without manual workarounds. Book your demo today. 
  • Radiology Case Report: A man in his 50s presented with syncope with minor head trauma and unassociated risk factors. Find out how MRI helped provide a diagnosis in this case study.
  • A New Solution for Radiology Reporting: Sectra Reporting delivers a fully built-in, AI-enhanced reporting experience that seamlessly connects PACS imaging data and measurements through intuitive templates. Discover how it can meet your needs today.
  • Leadership in Life Sciences: Quibim is committed to accelerating its development within the life sciences sector and strengthening collaborations with leading pharmaceutical companies. Learn about recent leadership developments that are moving the company forward.
  • AI-Powered Population Health: DeepHealth is assembling radiology’s largest portfolio of AI-enabled radiology solutions for population health. Learn more about their focus and their recent acquisition of Gleamer in this video interview. 
  • Cardiac CT Online Training Course: Medality’s online cardiac CT training course is designed for busy clinicians working towards Level 2 Cardiac CT certification. Endorsed by SCCT, it provides a flexible, practice-focused approach to develop your coronary CTA interpretation and reporting skills while earning CME.
  • An AI-Powered Solution for Fracture Detection: Gleamer’s BoneView provides radiologists and clinicians with an instant and automatic second reading of trauma bone X-rays, fully integrated into the reading workflow. See how it works today.
  • Designed for Your Emergency Challenges and Beyond: The Rembra CT scanner from Philips offers speed, access, and precision for excellent image quality at low dose, with fast, adaptable workflow for everything from routine exams to critical care. Discover its advantages today. 
  • Rapid AI Deployment in Emergency Care: University Hospitals used CARPL to deploy AZmed’s fracture detection tool directly in the emergency department, reducing interpretation time by 30% without disrupting workflows. Learn how UH accelerated AI deployment. 

The Industry Wire

  1. Trump cancels signing of AI executive order.
  2. CMS proposes new cap on supplemental Medicaid payments.
  3. How Kyle Diamantas defied expectations as he rose to lead the FDA.
  4. Health systems sue CVS over alleged nine-figure 340B scheme.
  5. Prediction markets set sights on clinical trials.
  6. Rural leaders raise questions over $50B transformation funds.
  7. A running tally of 2026 hospital and ED closures.
  8. Ebola outbreak at risk of becoming deadliest on record.
  9. How AI will change healthcare jobs.
  10. Microsoft thwarts healthcare ransomware operation.