Imaging Informatics Vendors
An Imaging Informatics Vendor plays a pivotal role in the modern healthcare ecosystem, acting as a critical bridge between healthcare providers and the myriad products and services they require. They supply essential medical hardware and software solutions, as well as provide support services, ensuring healthcare facilities operate efficiently and deliver high-quality patient care. They source and distribute medical supplies, negotiate pricing, and offer expertise in compliance and regulatory matters. Healthcare vendors also facilitate technology adoption, enabling providers to streamline operations, enhance patient experiences, and stay competitive. In an industry where innovation is constant, healthcare vendors are indispensable partners, helping healthcare organizations adapt and thrive.
SIIM is where developers from across the enterprise come to find like-minded professionals who thrive on improving health and solving challenges together with informatics. #YouBelongAtSIIM!
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Member Spotlight
Events
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Call for Abstracts
Showcase your work in imaging informatics! We invite Applied Informatics Abstracts highlighting innovative applications, quality-driven projects, and workflow improvements (vendor submissions not…
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National Imaging Informatics Course
The National Imaging Informatics Course (NIIC) is an accelerated, week-long online experience for imaging informaticists seeking to better leverage their…
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SIIM26 Annual Meeting + InformaticsTECH Expo
You Belong at SIIM26 Rediscover your drive. Reconnect with your peers. Reinvest in your career. At SIIM26 in Pittsburgh, explore…
Learning
learning
Landscape of Imaging Informatics
Imaging informatics has been an established profession in Radiology since the introduction of Picture Archiving and Communication Systems (PACS) for…
learning
Clinical Anatomy and Systems On-Demand
This on-demand course offers students a comprehensive understanding of human anatomy, focusing on body parts and their functions across systems,…
learning
Introduction to PACS On-Demand
This course delves into Picture Archiving and Communication Systems (PACS), covering key hardware components, various architectures, and vendor-specific differences. It…
Webinars
Webinar
Global Health AI for Radiology
This webinar will explore the transformative potential of artificial intelligence (AI) in radiology to advance global health, with a focus…
Webinar
From Compliance to Clinical Value: Modern Approaches to Dose Management
As healthcare organizations strive to balance regulatory compliance with the realities of busy clinical environments, the ability to integrate dose…
Webinar
Pixel Protectors: Security Strategies for Medical Imaging Devices, a continuing conversation for CyberSecurity Month
This webinar uses participant polling to engage in discussion on security preparedness, specifically focused on the need to implement and maintain a Zero Trust architecture and framework.
Resources
Resource
Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
In a groundbreaking collaboration led by the SIIM Machine Learning Education Subcommittee, the American Association of Physicists in Medicine (AAPM), Radiological Society of North America (RSNA), and Society for Imaging Informatics in Medicine (SIIM) are proud to announce the simultaneous co-publication of “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM” in these three flagship journals: Medical Physics, Radiology: Artificial Intelligence, and the Journal of Imaging Informatics in Medicine (JIIM).
The society-endorsed syllabus outlines critical competencies for four key groups: clinical users, technology purchasers, clinical collaborators, and AI developers. Designed as a flexible framework, it allows institutions to adapt content while ensuring consistent instruction on AI fundamentals, clinical integration, regulatory requirements, and ethical considerations.
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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 1)
Part 1: The Medical AI Background: From Simple Tools to Complex Systems Picture this: you’re a radiologist examining a chest…
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Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 2)
Part 2: Framework, Regulation & Future Directions Additions Ethical Considerations in Medical AI Deployment The deployment of multi-agent AI systems…