A committee of experts from top U.S. medical centers and research institutes is harnessing NVIDIA-powered federated learning to evaluate the impact of federated learning and AI-assisted annotation to train AI models for tumor segmentation. 

Society for Imaging Informatics and Medicine (SIIM) Machine Learning Tools and Research Subcommittee is a group of clinicians, researchers and engineers that aims to advance the development and application of AI for medical imaging. NVIDIA is a member of SIIM, and has been collaborating with the committee on federated learning projects since 2019. 

Publish Date

Sep 20, 2024

Topic

  • Artificial Intelligence
  • Data Sets & Management
  • Machine Learning Challenges
  • Open Source
  • Radiology
  • Research

Resource Type

  • Blog

Audience Type

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

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…