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Top Trends from SIIM 2026, Gadoquatrane Approved, and Patients and AI June 15, 2026
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Together with
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“It’s the Wild West out there. You would be amazed at how many places are building their own AI algorithms.”
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Larry Sitka of PaxeraHealth, on healthcare providers coding their own AI applications.
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It was great seeing everyone in Pittsburgh last week at SIIM 2026! While the technology on display was great, the best part of SIIM is always the people. Check out video interviews with some of our favorite folks on our YouTube channel. – Brian Casey, Managing Editor
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Last week’s SIIM 2026 conference demonstrated once again radiology’s ongoing evolution, from a discipline once known for big iron to one dominated by software. From radiology reporting to the evolving AI platform segment, below are the top seven trends from Pittsburgh.
- Reporting Stays Red Hot: Radiology reporting was the top theme from SIIM 2025, and the segment got even hotter with Microsoft’s decision to sunset its PowerScribe 360 radiology reporting software, which has drawn a host of new competitors into the segment. At SIIM 2026, a common theme was enterprise imaging companies adding reporting modules to their solutions.
- AI Adoption Moving Slowly But Surely: Adoption of radiology AI has been frustratingly slow, but it’s moving inexorably toward broader clinical use. At SIIM 2026, some 68% of the radiology-oriented papers focused on AI in some way, especially the new generation of foundation and vision language models that are enabling targeted AI algorithms to be developed more quickly than ever.
- AI Governance Gets Real: Growing adoption of AI algorithms is creating a new issue: How to manage all this new technology. AI governance therefore was a major issue at SIIM 2026 as healthcare providers debated the legal and ethical necessity to better manage AI adoption, deployment, and utilization.
- Other ‘Ologies Get into the Act: Radiology likes to think of SIIM as its own conference, but it also encompasses other ‘ologies that are moving into digital image management, like pathology and ophthalmology. At SIIM 2026, several imaging IT vendors showed integration with data from these disciplines, giving healthcare institutions a single source for their healthcare data management.
- The Rise of All-in-One Vendors: A growing number of imaging IT vendors are rolling out solutions that combine image viewer, worklist, and reporting into a single platform, simplifying purchasing, deployment, and maintenance for radiology customers. Many of these firms seem to be getting traction with potential buyers, indicating the all-in-one concept could be one whose time has come.
- Agentic AI Takes Shape: Agentic AI is a growing trend in radiology as algorithm developers build solutions to take on mundane tasks and free up radiologists to focus on their primary task: interpreting images. But the question is, will agentic AI work in the real world, or simply pile more technology on clinicians?
- What Next for AI Platforms? Bayer’s withdrawal from the AI platform market by pulling its support for Blackford in 2025 raised many questions about the platform model that persisted at SIIM 2026. AI platforms seem to be evolving to add additional services like AI monitoring and governance.
The Takeaway
SIIM may not be radiology’s largest show, but for those in the imaging IT space it may be the most valuable one outside of RSNA. SIIM 2026 proved that point, with the top trends from Pittsburgh illustrating the discipline’s direction at the midpoint of the radiology year. For our overview of the top trends at SIIM 2026, check out our YouTube channel or the Shows tab on our webpage.
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Don’t Leave Your Patients in the Dark
See how top health systems like Duke Health and Lumexa Imaging are using patient-friendly radiology reports from Scanslated to boost patient engagement and satisfaction.
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Increase Radiologist Productivity in DEXA Reporting
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Making AI Work for Radiology
Watch this webinar from Philips to learn practical strategies, real‑world results, and what it takes to successfully scale AI for radiology at your hospital or health system.
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- Bayer Gets Approval for Gadoquatrane: MRI providers will soon have a new contrast alternative for low-gadolinium-dose imaging after Bayer received FDA approval for its gadoquatrane high-relaxivity agent. Gadoquatrane will be marketed under the trade name Ambelvist, and is indicated for detecting lesions with abnormal vascularity in the central nervous system and non-CNS body regions of adult and pediatric patients. Data from clinical studies indicate that Ambelvist can be used with 60% less gadolinium dose than conventional gadolinium-based contrast agents and 20% lower than gadopiclenol, another high-relaxivity GBCA.
- Patients Want AI … But: A new study in npj Digital Medicine found that patients are warming up to medical AI, but many don’t want to pay for it. Johns Hopkins researchers recruited 248 U.S. adults with type 1 diabetes, then presented them with scenarios where they were due for an annual diabetic eye screening in which autonomous AI could be used. More than 80% opted for AI when the copay was waived, compared to 43% who chose AI when the copay wasn’t waived. Get the rest of the story on our Digital Health Wire sister site.
- Subtle Medical Gets CT Clearance: Subtle Medical is expanding its image enhancement technology into a new modality – CT – after getting FDA clearance for its SubtleHD(CT) solution. The technology reduces noise and improves low-contrast detectability across CT applications through AI-powered image processing. It’s worth noting that CT is radiology’s workhorse modality, with a larger installed base than either MRI or PET – the other imaging segments that Subtle addresses with its SubtleHD(MR) and SubtleHD(PET) applications.
- DeepHealth Ships Reporting Software: DeepHealth is the latest imaging IT vendor to enter the red-hot radiology reporting space with the commercial launch of its Reporting Pro solution at SIIM 2026. Reporting Pro debuted at RSNA 2025 and has now begun shipping, and it includes features that combine speech recognition and AI-generated clinical findings, measurements, and impressions, as well as quality assurance and structured reporting. It can integrate clinical findings from AI solutions developed by DeepHealth or third-party AI vendors into reports.
- Disclosing Imaging Error Rates to Patients: Should patients be told about the error rates of medical imaging exams before they get scanned? Patients seem to think so, at least based on a survey of 1.5k people in the Netherlands in European Radiology. In all, 88% agreed that patients should be told of the risk of diagnostic errors, especially for higher-risk scenarios and younger patients (92% for nine-year-olds vs. 84% for 71-year-olds). A strong majority (95%) also believed patient consent should be obtained when error risk was below 5%.
- AI Algorithm Improves Stroke Detection: A Scientific Reports study found that an AI algorithm from SK C&C of South Korea improved acute ischemic stroke detection on non-contrast CT, raising reader accuracy from 72% to 76% and achieving an AUROC of 0.81. The key impact was among non-radiologist physicians – often first responders in emergency settings – whose accuracy improved 5.4 percentage points. By boosting front-line sensitivity and specificity, AI could help catch subtle ischemic changes earlier and serve as a diagnostic safety net where radiology expertise is limited.
- Radiology’s Carbon Footprint: Curious about the carbon footprint of that MRI scan you’re about to perform? A new online database from The Lancet – Lancet MedZero – enables clinicians to look up the carbon emissions for thousands of medical products, with estimates including manufacturing, transportation, power consumption, and waste disposal. For point of reference in radiology, the carbon footprint of an MRI scan is 9.1k grams of carbon dioxide equivalent, followed by CT at 5.6k and chest X-ray at 971.
- Top Healthcare Concerns: Economic issues continued to dominate Americans’ ranking of the top problems facing the country in the latest data from Pew Research. The survey of 5.1k U.S. adults showed that 73% now view healthcare affordability as a very big problem for the country (up 6 percentage points from February 2025), a decent gap above the 64% that said the same about the federal budget deficit (up 7pp). Healthcare costs transcended party lines as a major concern for both Democrats (85%) and Republicans (60%), outranking both inflation and unemployment for both groups.
- Trust, But Verify: New research from Wolters Kluwer found that doctors still don’t fully trust AI, but that doesn’t mean they’re checking the outputs. The survey of 355 clinicians and 254 patients showed that 74% of clinicians are concerned about AI hallucinations, with just as many saying that they’re confident in their ability to “determine whether an answer is clinically valid without consulting an outside source.” With that in mind, it makes slightly more sense that only 77% said they’ll take the extra step to verify AI outputs.
- FDA Clears Clarius Ejection Fraction AI: Clarius Mobile Health received FDA clearance for Ejection Fraction AI, a cardiac ultrasound tool that automatically calculates left ventricular ejection fraction in real time within the Clarius App. Available on the company’s PA, PAL, and C3 HD3 wireless scanners, the software provides an objective measure of cardiac function from standard cardiac views, reducing reliance on visual estimation and supporting faster point-of-care decision-making in primary care, emergency medicine, and underserved settings.
- Gradient Health Adds Multimodality Support: Healthcare data provider Gradient Health has added support for modalities beyond radiology images to its Atlas platform. Atlas currently houses data from 20M medical imaging studies that AI companies can use to train algorithms, and with the expansion Gradient is making data available from EHRs, pathology, diagnostic labs, and ECGs. The move parallels the AI segment’s evolution from single-point solutions to broader foundation models and clinical AI systems.
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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.
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How Cloud-Based Enterprise Imaging Accelerates Insights
Cloud-based enterprise imaging shortens the path from scan to diagnosis by centralizing data, automating workflows, and enabling AI-driven prioritization. Find out how Intelerad’s cloud-native imaging platform can help you change healthcare delivery.
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Building a Life and Career in Radiology
What does it take to build a meaningful career in radiology? Erin Gomez, MD, talks about her unconventional path into medicine in the latest episode of Medality’s The Joys of Radiology with host Gautam Agarwal, MD.
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- Singapore’s National AI Imaging Platform: AimSG, Singapore’s national radiology AI platform, is powered by CARPL to support third-party and in-house AI through a single, secure pipeline. See how CARPL powers healthcare across Singapore.
- 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.
- 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.
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- One Viewer for All: Achieve ultrafast image interpretation with greater efficiency and precision with Visage 7 from Visage Imaging. Visage’s one-viewer philosophy enables all end users – from radiologists to clinicians – to access powerful tools based on clinical need.
- More Reporting. Less Friction: Small workflow interruptions add up across every shift. Modern reporting should reduce clicks, improve responsiveness and help radiologists stay focused on patient care. Experience reporting built around radiologists with Rad AI. Book a demo.
- MRI Solutions for Claustrophobic Patients: Neurological Associates of Long Island had an Alzheimer’s patient who was unable to tolerate MRI due to severe claustrophobia. Read how she completed the scan calmly and without movement thanks to Fujifilm’s Echelon Synergy 1.5T MRI system.
- Unlock Next-Level Diagnostic Possibilities: Photonova Spectra from GE HealthCare is designed to realize the full potential of photon-counting CT in oncology, cardiology, neurology, and more. Learn more about the difference its Deep Silicon technology makes on this page.
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