MONAI (Medical Open Network for AI) is an open-source domain-specific framework for healthcare and medical imaging research. It offers tools, data structures, and pre-processing capabilities to streamline the development of deep learning models for medical image analysis. With a focus on reproducibility and extensibility, MONAI simplifies data loading, augmentation, training, and evaluation processes, catering to diverse medical imaging tasks such as segmentation, classification, and registration. By providing a specialized platform for medical AI research, MONAI accelerates innovation and collaboration in the field, aiding researchers and practitioners in advancing the accuracy and efficiency of medical image analysis algorithms.

Publish Date

Jul 11, 2023


  • Artificial Intelligence
  • Generative AI
  • Large Language Models
  • Open Source
  • Research
  • Tech Tools

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist


2023 Salary Survey

Mar 22, 2024

The SIIM 2023 Salary Survey compiles data from 150+ respondents to provide you with the information needed to make informed…


Special Challenges of Sensitive Images: A HIMSS-SIIM Enterprise Imaging Community Whitepaper

Feb 13, 2024

Journal of Digital Imaging Open Access Article Alexander J. Towbin, Delaney D. Ding, Moneif Eid, Heather Kimball, Julia Komissarchik, John…


HIMSS-SIIM Enterprise Imaging Community White Papers: Reflections and Future Directions

Feb 9, 2024

Journal of Digital Imaging Open Access Article Christopher J. Roth, Cheryl Petersilge, David Clunie, Alexander J. Towbin, Dawn Cram, Rik…