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

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