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

Topic

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

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 1)

Sep 9, 2025

Part 1: The Medical AI Background: From Simple Tools to Complex Systems Picture this: you’re a radiologist examining a chest…

Resource

Multi-Agent AI and Ethics in Radiology: Navigating the Trust Crisis in Advanced Medical Systems
(Part 2)

Sep 9, 2025

Part 2: Framework, Regulation & Future Directions Additions Ethical Considerations in Medical AI Deployment The deployment of multi-agent AI systems…

Resource

Liquid Foundation Models: Revolutionizing AI Adaptability and Efficiency

Aug 26, 2025

Introduction In the rapidly evolving landscape of artificial intelligence, a new paradigm has emerged that promises to address some of…