One question to add to your Breast Cancer Awareness Month conversations: How are we monitoring the AI used in breast imaging? The choice of technology matters. So does the attention it receives once it becomes part of clinical practice. For the teams caring for patients, ongoing monitoring provides information they can review, question and bring into decisions about AI oversight. Assess-AI from the American College of Radiology's Data Science Institute supports monitoring for supported imaging AI use cases, including breast density on mammography. It tracks agreement between AI results and radiology reports and enables comparisons with peer facilities. See what ongoing monitoring could look like for your breast imaging team. 🔗Learn more about Assess-AI in the link in the comments. 👇 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Laura P Coombs, PhD Mike Tilkin Dr. Keith J. Dreyer Matt Clark
ACR Data Science Institute
Non-profit Organizations
Reston, Virginia 1,182 followers
Trusted innovation, proven solutions — from the American College of Radiology.
About us
The ACR Data Science Institute® (DSI) is the innovation hub of the American College of Radiology®, advancing the safe, ethical, and effective use of artificial intelligence in medical imaging. We deliver trusted, evidence-based solutions that help hospitals, imaging centers, and healthcare leaders improve quality, efficiency, and patient care. From guiding responsible AI adoption with ARCH-AI to enabling continuous performance monitoring with Assess-AI, our portfolio is built to support healthcare organizations navigating a rapidly evolving technology landscape. Grounded in the ACR’s long-standing reputation for clinical excellence, ACR DSI combines trusted expertise with forward-looking innovation—empowering healthcare leaders to adopt emerging technologies with confidence.
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www.acr.org
External link for ACR Data Science Institute
- Industry
- Non-profit Organizations
- Company size
- 201-500 employees
- Headquarters
- Reston, Virginia
- Type
- Nonprofit
- Founded
- 2025
Locations
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1892 Preston White Dr
Reston, Virginia 20191, US
Employees at ACR Data Science Institute
Updates
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Still have QSI 2026 open in a browser tab? You’ve seen the agenda. Here’s the reason to make time: hearing how others are working through the questions your team keeps coming back to. How do we make AI work in daily practice? Close gaps in follow-up? Measure what actually matters? At the American College of Radiology’s Quality and Safety + Informatics Conference 2026, bring your perspective, compare approaches and make connections that can help you move the work forward. 📍October 16–17 | Atlanta 🔗Register through the link in the comments. ⬇️ Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Matt Clark Laura P Coombs, PhD Laura Brink Mike Tilkin Dr. Keith J. Dreyer Mythreyi Bhargavan Chatfield
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QSI 2026: Look closer. 🔎 What happens when an imaging AI result calls for a closer look? We’re preparing a live, hands-on walkthrough where you can explore a sample Assess-AI report, follow a case into Forensics, and see how a team could investigate it. Join the American College of Radiology's Data Science Institute team October 16–17 in Atlanta for this guided experience and more ways to explore our AI portfolio. 🔗QSI details and registration link in the comments.👇 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Paige Nierengarten Bernardo Bizzo Matt Clark Laura P Coombs, PhD Laura Brink Mike Tilkin Dr. Keith J. Dreyer
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How’s your Crete checklist coming along? ☑️ If “find the ACR DSI team” is still unchecked, come say hello at EuSoMII 2026, October 9–10. We’d love to hear how your organization monitors imaging AI after deployment and talk about where Assess-AI fits in. In the meantime, explore the American College of Radiology Data Science Institute’s AI portfolio. Link in the comments. 👇 Greek coffee recommendations are welcome, too. 👀 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Matt Clark Laura P Coombs, PhD Mike Tilkin Dr. Keith J. Dreyer EuSoMII - European Society of Medical Imaging Informatics
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ACR Data Science Institute reposted this
Woojin Kim is inviting you to Crete for EuSoMII Annual Meeting 2026, still not covinced that this is the place to be this fall, here from one of the best!!! Be part of two inspiring days as leading experts from around the world come together to discuss the future of Al, imaging informatics, sustainability, implementation, ethics, and regulation in medical imaging. Whether you are a radiologist, researcher, clinician, or Al enthusiast, this is a meeting you won't want to miss. Join us this October in Crete for EuSoMIl 2026! 📆 9-10 October Heraklion, Crete 👉Register Now : https:///nkd.in/gC4ts6Tf See you in Heraklion, Crete this October! Daniel Pinto dos Santos Merel Huisman, MD, PhD Peter van Ooijen Elmar Kotter Erik R. Ranschaert, MD, PhD Michail Klontzas, MD, PhD, EDiR Renato Cuocolo Roberto Cannella Dr Christina Malamateniou, Reader/Associate Professor FCR Prof Susan Shelmerdine MBBS PhD Florence Doo, M.D. Alex Towbin Paige Nierengarten Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Tessa Cook MD PhD FSIIM FCPP FAAR FACR Kevin Groot Lipman Tugba Akinci D'Antonoli Prof. Dr. Matthias Dietzel, MHBA Amit Gupta MD Alessia Guarnera Michaela Cellina Dr.med. Elif Can M.A., EBIR Matthaios Triantafyllou Konstantinos Vrettos Eleftherios Tzanis Salvatore Claudio Fanni Andrea Ponsiglione Paola Rinaldi Neha Rani ACR Data Science Institute
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For health-system leaders, imaging AI oversight comes down to questions they can answer across sites: What’s deployed? Who owns it? How is it performing? What happens when a result raises concern? 🤔 The American College of Radiology's Data Science Institute's AI ecosystem provides infrastructure for that work. AI Central helps teams explore imaging AI, ARCH-AI supports governance, and Assess-AI helps monitor performance after deployment. Use the checklist with your team, then explore the ACR DSI services that can help you act on the answers. Details in the comments. 👇 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Matt Clark Laura P Coombs, PhD Mike Tilkin Dr. Keith J. Dreyer
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Radiology and informatics go hand in hand—from the images we interpret to the systems that help us deliver care. 🩻💻 The current American College of Radiology’s Informatics Fellow Prateek Madaan shares why radiologists should consider the fellowship and the remarkable people they’ll meet along the way. Curious where informatics could take your radiology career? Explore the ACR Informatics Fellowship and apply. Details in the comments below.👇 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Laura P Coombs, PhD Mike Tilkin Dr. Keith J. Dreyer
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Radiology doesn’t have to navigate AI adoption alone.✨ Ophthalmology, dermatology and pathology offer valuable lessons in explainability, bias, workflow integration, continuous improvement and real-world performance. In a new Data Science Institute blog from the American College of Radiology, Zoya Siddiqui, BA, MS4, explores how these insights can support more thoughtful AI implementation—while keeping clinical quality and patient care at the center. 🔗Read the article at the link in the comments.👇 Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Laura P Coombs, PhD Dr. Keith J. Dreyer Mike Tilkin New York Medical College
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A pulmonary embolism algorithm and a breast density tool solve very different clinical problems. 🏥 But once deployed, they raise the same question: How is this AI performing in our clinical environment? Assess-AI from the American College of Radiology's Data Science Institute supports real-world performance monitoring across imaging AI use cases, including: 🔹 Pulmonary embolism 🔹 Intracranial hemorrhage 🔹 Pneumothorax 🔹 Large vessel occlusion 🔹 Breast density 🔹 Cervical spine fracture 🔹 Additional imaging applications Health systems can use AI Central to explore available imaging AI solutions and their intended clinical uses. After implementation, Assess-AI provides greater visibility into performance through site-level insights and national benchmarking—helping organizations strengthen AI oversight and support clinical quality. 🔗Explore the supported use cases on AI Central. Link in the comments.⬇️ Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Paige Nierengarten Matt Clark Laura P Coombs, PhD Mike Tilkin Dr. Keith J. Dreyer
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Your work doesn’t need a bigger audience. It needs the right one.👀 The American College of Radiology’s QS+I conference brings your ideas into a room filled with radiology professionals who understand the problems, ask better questions and know what it takes to create meaningful change. If you’re working to improve quality, safety, informatics, AI or the delivery of patient care, this is your room. 🗓️ October 16–17, 2026 📍 Atlanta + virtual 🔗Register now. Link in the comments below. ⬇️ Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) Woojin Kim Christopher Treml Tessa Cook MD PhD FSIIM FCPP FAAR FACR Bernardo Bizzo Laura P Coombs, PhD Mike Tilkin Mythreyi Bhargavan Chatfield PANORAD Thomas Loehfelm