Help us shape the future of AI in Imaging IT!

The Clinical Implementation of Artificial Intelligence (AI) in Healthcare course addresses a knowledge gap for Certified Imaging Informatics Professionals (CIIP), offering a vendor-agnostic roadmap for AI system architecture, integration, and ongoing support. Unlike resources designed for radiologists, this course focuses on AI’s technical requirements and impact on enterprise imaging, PACS, and traditional workflows. Students will learn essential AI terminology, integration with existing systems like PACS and EHR, and techniques to ensure continued effectiveness. It also covers regulatory considerations and methods to measure AI algorithm efficacy, equipping IIPs to plan, implement, and monitor AI in clinical settings.

Take our quick pre-market survey to guide the development of a course designed for Imaging Informatics Professionals (IIPs). Your feedback will ensure we create the most relevant, impactful content.

Publish Date

Sep 19, 2024

Topic

  • Administration and Operations
  • Applications
  • Artificial Intelligence
  • Clinical Workflow & Productivity
  • Data Sets & Management
  • Generative AI
  • Large Language Models
  • Quality Improvement / Assurance
  • Systems Management

Resource Type

  • Survey

Audience Type

  • Developer
  • Imaging IT
  • Vendor

Resource

Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA

Jan 29, 2025

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through…

Resource

SIIM24 Annual Meeting Abstract Booklet

Jan 9, 2025

Dive into the cutting-edge innovations in imaging informatics with the SIIM24 Annual Meeting Abstract Booklet! This comprehensive publication includes all…

Resource

Governance Considerations for Point-of-Care Ultrasound: a HIMSS-SIIM Enterprise Imaging Community Whitepaper in Collaboration with AIUM

Jan 3, 2025

Journal of Imaging Informatics in Medicine Open Access Article Irene W. Y. Ma, Michael L. Francavilla, Jason T. Nomura, Adam…