Radiology
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AAPM, ACR, RSNA, and SIIM Announce Joint Effort in Developing Innovative AI Educational Framework for Radiology
FOR IMMEDIATE RELEASE Leesburg, VA – October 1, 2025 In a groundbreaking collaboration led by the SIIM Machine Learning Education…
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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems (Part 1)
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)
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
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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How Digital Twin Technology Can Revolutionize Healthcare
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
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…
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Insights From the September Webinar on Enhancing Healthcare Workflows with Artificial Intelligence
Kamyar Moradi
The recent SIIM’s Artificial Intelligence webinar held on September 4th, discussed how advanced AI platforms are revolutionizing healthcare workflows. Moderated…
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Blind Spots: Insights from the June 2024 Webinar on Confronting the Reproducibility Crisis in Machine Learning
Rahman Ladak
The SIIM’s Artificial Intelligence Webinar Series recently held a talk on the reproducibility crisis in machine learning, providing an often-unheard…
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Mitigating the Hallucinations of Large Language Models with Retrieval Augmentation
Pouria Rouzrokh, MD, MPH, MHPE, Mayo Clinic AI Lab
In recent years, the applications of large language models (LLMs) like GPT-4 have expanded at an exponential pace. From simplifying…