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AI for Breast Cancer Risk, SIIM 2026 Opens, and AI Breakups
June 11, 2026
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Together with
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“Healthcare leaders must shift from viewing AI as a disruptive replacement to embracing it as a critical partnership. This isn’t just the future. It’s happening now.”
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Elad Walach, CEO of Aidoc.
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SIIM 2026 is in full swing this week in The Steel City, but you won’t find any big iron on the show floor at Pittsburgh’s David L. Lawrence Convention Center, where imaging IT software rules the day. We’re pleased to give you a few juicy news bits from SIIM so far (see below), but check out Monday’s issue of The Imaging Wire for our wrap-up of top trends at the show. – Brian Casey, Managing Editor
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Artificial intelligence may be capable of identifying subtle mammographic signs of breast cancer years before conventional diagnosis, according to a new study published in Radiology. Researchers from Sweden found that three commercially available AI algorithms for mammography screening generated elevated cancer scores as early as 10 years before diagnosis, with detection signals strengthening as diagnosis approached.
Predicting breast cancer risk offers the prospect not only of detecting cancer earlier, but also of tailoring mammography screening to women most likely to benefit from it.
- Clinical risk calculators like Tyrer-Cuzick and breast density analysis are available, but AI-based algorithms are showing promise by predicting risk from screening mammograms.
In the new study, researchers analyzed 89k mammograms from 31.4k women collected over a 10-year period, drawn from Sweden’s national screening program, where women aged 40-74 undergo biennial mammography interpreted by two radiologists.
- During the study period, 12.1k women (39%) were ultimately diagnosed with breast cancer. Three commercially available AI algorithms were used to generate risk scores (Vara AI from Vara, Lunit Insight MMG from Lunit, and MammoScreen from Therapixel). (It’s worth noting all three were originally designed for cancer detection rather than risk prediction.)
AI scores increased progressively over time in women who later developed cancer, while remaining relatively stable among cancer-free participants…
- At 90% specificity, AI systems flagged 19%-20% of future breast cancer cases six years before diagnosis.
- Detection increased to 23%-25% at four years before diagnosis.
- Performance rose further to 35%-39% at two years before diagnosis.
- Even 10 years before diagnosis, the systems identified 13%-17% of future cancers.
- Across all pre-diagnostic examinations, AI achieved AUC values of 0.63-0.67, outperforming mammographic density alone (AUC = 0.57).
The findings suggest that AI tools developed for cancer detection may also have value as early-alert systems for identifying women who could benefit from closer surveillance or supplemental imaging.
- While prospective validation is still needed, sequential AI scoring may ultimately help identify women who would benefit from supplemental imaging, closer surveillance, or earlier intervention.
The Takeaway
The study adds to growing evidence that mammography AI can extend beyond cancer detection to long-term risk stratification. By identifying subtle imaging patterns years before diagnosis, AI-derived detection scores could provide an additional layer of longitudinal risk monitoring and help guide more personalized screening strategies.
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Staying Competitive with New Technology
Nashville General Hospital aimed to enhance their CT and mammography systems to remain competitive, and Fujifilm stood out as the right fit. Learn how they boosted efficiency with Fujifilm’s Scenaria View CT scanner and ASPIRE Cristalle mammography system.
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This Is Bigger Than a Software Upgrade
A reporting transition shapes workflow, infrastructure, and radiologist experience for years to come. Modern reporting should improve efficiency without disrupting clinical flow. See what modern reporting looks like with Rad AI. Book a demo.
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Visit Visage at SIIM 2026
At this year’s SIIM 2026, Visage Imaging is demonstrating its Visage 7 solution operating across the entire Apple ecosystem, including on Apple Silicon-powered workstations with multiple Studio Display XDRs. Book a priority demo today or drop by booth #404-408.
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- Clinical AI Adoption Grows: The latest Future Health Index report from Philips has good news regarding clinical AI adoption, finding AI is moving “from promise to practice.” Researchers surveyed over 2k healthcare professionals and 20k patients across 10 countries, finding that 36% of providers said AI helped them see more patients, while 49% of clinicians said AI saved them time equivalent to three full working weeks a year. And 27% said AI helped them identify or prevent a potential medical error at least three times in the last three months.
- Breaking Up with Your AI Vendor: Clinical AI adoption may be growing, but how do radiology staff feel when AI is removed from their facility? A new article in JACR offers insights into AI “off-boarding,” based on experiences of a U.K. hospital that decommissioned an AI algorithm for triaging chest X-rays for lung cancer when pilot-study funding ended. Researchers surveyed 40 staff members (90% radiographers), finding higher support for AI triage compared to before AI implementation (85% vs. 78%-83%), but many still wanted human-level diagnosis.
- Harrison Releases Updated Foundation Model: Harrison.ai took advantage of SIIM 2026 to release the latest version of its radiology foundation model that can analyze medical images and clinical context to produce draft reports for radiologist review. Harrison.Rad 1.5 includes stronger reasoning across complex studies and sharper anatomical localization, and can compare current images to priors and describe what has changed. The model also is able to pass the U.K. radiologist board exam.
- Visage Highlights Reporting at SIIM: A new native radiology reporting capability is among the highlights for Visage Imaging at SIIM 2026. Visage 7 | Reporting is designed to support all reporting workflows, including interpretation at academic institutions. The application is in live production, with North America go-lives expected in the second half of 2026. Other SIIM highlights include support for the Apple ecosystem including Studio Display XDR monitors, and support for multiple ‘ologies including pathology with Visage 7 | Pathology.
- Mosaic Ships Reporting Software: Mosaic Clinical Technologies began shipping Mosaic Reporting, a cloud-native radiology reporting application that’s available as part of the company’s MosaicOS operating system. Mosaic Reporting is powered by foundation models developed by the firm’s recently acquired Cognita Imaging division, and works alongside radiologists in real time, organizing findings, structuring reports, and enabling targeted edits during reporting. Mosaic is highlighting the solution at this week’s SIIM 2026.
- Rad AI Nabs Yale New Haven: Rad AI secured an agreement to deploy its radiology reporting solutions at Yale New Haven Health System in Connecticut. Yale New Haven is the largest health system in the state, and manages over 700k imaging exams annually across five hospitals and 16 outpatient imaging centers. In addition to daily clinical reporting, the deployment also includes provisions to incorporate research and to co-develop specialized tools for Yale New Haven clinicians.
- Sectra Lands Large Deployment: Sectra announced another large enterprise imaging deployment on the eve of SIIM 2026. The company is installing its Sectra One Cloud software at four healthcare providers in Ontario, Canada: Hamilton Health Sciences, St. Joseph’s Healthcare Hamilton, Norfolk General Hospital, and West Haldimand General Hospital. The deployment will consolidate two separate radiology IT solutions that had been in place, and will enable all four to use a single, unified cloud.
- Study Supports BAC’s Predictive Power: Breast arterial calcification can predict future heart problems in women, even in those with no history of major adverse cardiovascular events. In a new study in Clinical Imaging, researchers derived BAC levels from digital mammograms of 4.3k women without MACE histories, finding a BAC prevalence of 8.04% – compared to 13%-17% in recent studies that included patients with MACE. BAC presence could be the first sign that women without symptoms should be referred for additional cardiovascular workup.
- MRI Calculates Breast Density: Breast tissue density is a risk factor for breast cancer, and is usually calculated from digital mammograms. But Japanese researchers present a technique for MRI breast density calculations in a new study in Clinical Imaging. A deep learning algorithm was used to derive breast density for 113 women from 3T breast MRI with a 3D T1-weighted gradient-echo sequence. Breast MRI calculations had strong correlation with mammography (r = 0.78), were 28% lower, and had higher AUC for detecting high-density breasts (0.87 vs. 0.80).
- FDA Updates Breakthrough Device Data: The FDA updated its list of medical devices it is reviewing under the breakthrough device program. For the first six months of the fiscal year starting October 1, 2025, the FDA issued 80 breakthrough designations, putting the agency on pace to match the 164 designations issued for all of fiscal 2025. Radiology devices reviewed under the program that went on to get approved include the AutoAS software from GE HealthCare, the Annalise Enterprise algorithm from Harrison.ai, and an AI foundation model from Aidoc.
- CT Shows Air Pollution’s Effect on Cardiac Function: Cardiac CT scans demonstrated air pollution’s negative effects on heart function in a new study in Radiology. Researchers tracked 11.1k people in Ontario, Canada who got cardiac CT scans and correlated metrics like coronary artery calcium and plaque burden to atmospheric particulate exposure. People with greater pollution exposure had 11% higher rates of CAC and 13% higher rates of total plaque burden, and women had 81% higher odds of obstructive CAD – a relationship that was not statistically significant in men.
- Bayer Taps Radiology Chief: Bayer named Jost Reinhard, PhD, to lead the company’s Radiology business within its Bayer Pharmaceuticals Division, filling a role left by the recent departure of Nelson Ambrogio to head up Bayer’s U.S. Pharmaceuticals business. Reinhard is a longtime Bayer executive who most recently served as head of investor relations at the company. He has also led Bayer’s cell and gene therapy business and its pharmaceuticals operation in France.
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Tackling Radiology’s Capacity Issue
Healthcare providers are under pressure from rising costs, care delays, and growing cybersecurity risks. Watch this video to discover how Mosaic Clinical Technologies delivers a future-ready imaging solution that improves continuity of care and accelerates detection for faster, more appropriate interventions.
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A Breakthrough in Imaging Data Standardization
Enlitic’s Ensight 2.2 is a breakthrough in imaging data standardization that gives health systems a clearer, more detailed understanding of imaging data, accelerating the path from implementation to impact. Find out what it can do for you today.
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Enterprise Imaging, Connected Workflows, and Practical Innovation
Join Mach7 Technologies at SIIM 2026 to explore how healthcare organizations are modernizing enterprise imaging workflows, improving interoperability, and simplifying access to imaging data across the enterprise. Visit them at booth #608.
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- Join Sectra at SIIM 2026: Visit Sectra at SIIM 2026 as they showcase their complete enterprise imaging offering with Sectra VNA and award-winning Best-in-KLAS Sectra PACS for radiology, pathology, and cardiology at its core. Book a meeting or drop by at booth #407.
- A Next-Generation Oncology Ecosystem: Quibim has launched their next-generation oncology ecosystem platform. Find out how QP-Prostate provides a comprehensive, end-to-end management workflow for prostate cancer care, supporting clinicians from the earliest stages of image acquisition through diagnosis, patient management, and follow-up.
- 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.
- 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.
- From Radiology Resident to Company Founder: In this episode of Medality’s The Radiology Report Podcast, Dor Shoshan, MD, founder and CEO of ContrastConnect, shares how he went from radiology resident to founder of a platform for virtual contrast supervision now used by hundreds of imaging centers nationwide.
- 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.
- 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.
- 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.
- 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.
- Lights, Camera, Action! Philips in The Pitt: The Philips Radiography 7000 M mobile X-ray system played a role as a key imaging tool within the emergency department in a recent episode of HBO’s medical drama “The Pitt.” Find out how it can star in your imaging facility.
- IT Solutions for Radiologist Efficiency: Inefficiencies in reporting are some of the biggest challenges facing radiologists today. Learn how imaging IT solutions from Altamont Software can help radiologists work more efficiently in this Imaging Wire Show video.
- 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.
- 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.
- 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.
- An Early Detection Pathway for ATTR-CM: Us2.ai has been selected as the echocardiography AI algorithm at the heart of Alnylam and Viz.ai’s strategic collaboration, combining FDA-cleared echo AI with EHR connectivity to build an AI-enabled ATTR-CM care pathway that helps clinicians identify patients earlier.
- Power at the Point of Care: The uDR 380i Pro from United Imaging is a high-performing and agile mobile X-ray system with an ultra-narrow body design, a high-voltage generator, and the uVision Remote Console that redefines the workflow for point of care imaging.
- KLAS-Leading Enterprise Imaging: Get set to see KLAS-leading enterprise imaging with AGFA HealthCare at SIIM 2026. Discover how their enterprise imaging IT technologies can empower your radiology facility at booth #308-310.
- Could AI Help People Live Longer? The most powerful transformation in healthcare may come not after illness appears, but through what we do before disease ever takes hold. Read this article from DeepHealth on how AI can fundamentally change the way we approach health.
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