The SIIM Machine Learning and Research Committees are pivotal in advancing the organization’s strategy to position imaging informaticists at the forefront of discovery and innovation in medical imaging informatics. Their goals include fostering a collaborative research community and disseminating findings through various channels, including the Journal of Imaging Informatics in Medicine (JIIM). With AI/ML being the hottest area of medical imaging research, both committees have been targeting machine learning initiatives, aiming to provide educational resources, create policies and tools to curate public datasets, and establish methods and procedures to perform and publish machine learning work in reproducible ways. This collection provides access to the recent papers published by these committees, with a promise of more to come!

Publish Date

Oct 4, 2024

Topic

  • Artificial Intelligence
  • Machine Learning Challenges
  • Radiology
  • Research

Resource Type

  • JIIM

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist
  • Student Member in Training (SMIT)
  • 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…