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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems (Part 1)

Sep 9, 2025

Sara Salehi, Bradley J Erickson, Yashbir Singh 

Picture this: you’re a radiologist examining a chest X-ray, and an AI system flags a potential abnormality with 95% confidence.…

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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems (Part 2)

Sep 9, 2025

Sara Salehi, Bradley J Erickson, Yashbir Singh 

Healthcare AI Ethics: Balancing Innovation with Patient Rights The deployment of multi-agent AI systems in radiology raises fundamental ethical questions…

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Liquid Foundation Models: Revolutionizing AI Adaptability and Efficiency

Aug 25, 2025

Yashbir Singh, PhD, Sara Salehi, MD & Yuankai Huo, PhD

Introduction In the rapidly evolving landscape of artificial intelligence, a new paradigm has emerged that promises to address some of…

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Six SIIM Leaders Reflect on the Life and Legacy of Ruth E. Dayhoff, MD

Aug 19, 2025

In Memoriam Ruth E. Dayhoff, MD May 16, 1952 – July 29, 2025 The Dr. Ruth E. Dayhoff Award for…

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SIIM25: Brilliance & Belonging

Jun 6, 2025

Cheryl Kreider Carey, MBA, CAE

How does one capture four days of high-impact learning, three visionary plenaries, two engaged audiences, and a sold-out InformaticsTECH Expo?…

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Finding Our Future: Reflections on SIIM’s Past, Present, and Future

Mar 14, 2025

Nabile M. Safdar, MD, MPH, FSIIM

In 2005, many of my colleagues and I were still debating whether the new generation of flat-panel monitors could match…

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How Digital Twin Technology Can Revolutionize Healthcare

Mar 11, 2025

Sara Aghamiri

The recent Artificial Intelligence webinar series by the Society for Imaging Informatics in Medicine (SIIM) discussed how digital twin technology…

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Topological Deep Learning: Transforming Medical Imaging

Oct 3, 2024

Yashbir Singh, PhD, ME, Mayo Clinic
Khaled Younis, PhD, MedAiConsult
Yuankai Huo, PhD, Vanderbilt University

Topological Deep Learning Is a groundbreaking approach that is transforming medical imaging. By combining the power of deep learning with…