Learn medical artificial intelligence in Python

June 10th – August 6th, 2023



  hours  minutes  seconds


McMedHacks 2023 Closing Ceremony

Title: Artificial Intelligence for Breast Cancer Detection From Mammography: Clinical Validation and integration &Deep learning in cancer radiation therapy

Speakers: Dr. Xun Jia & Dr. Du Hao

McMedHacks Leadership Team

McMedHacks is back!

  • McMedHacks is an 8-week-long program that aims to teach students, researchers, and clinicians fundamentals of medical image analysis and deep learning in Python. It consists of a series of in-depth workshop demos with Google Colab and seminar series given by leaders in the field. McMedHacks is a program organized by the EngerLab at the McGill Medical Physics Unit (MPU), Lady Davis Institute. EngerLab is a part of McGill Centre for Translational Research in Cancer, as well as the Cancer Research Network. Last year’s participants can be found here!

    See McMedHacks 2022 statistics here and previous years’ program here!

  • NEW to this year’s edition:

    • Online learning module to learn at your own pace prior to coming to live sessions on Saturday (seminar) and Sunday (hands-on coding workshop) 
    • In-depth introduction to popular deep learning framework PyTorch
    • Phase 1: from week 1 to 4: providing a fundamental understanding of classical machine learning to deep learning applications on medical image analysis. 
    • Phase 2: from week 5 to week 8: introducing the best practices and state-of-the-art methodologies from current medical AI literature in medical image analysis and natural language processing. 
    • Certificates: phase 1 certificate for attendance from week 1 to 4; phase 2 complete certificate for attendance from week 1 to 8.
    • Networking opportunities during live sessions to connect with students, researchers, and professionals around the globe!
  • Learning Objectives:

    • Familiarity with the fundamentals of image analysis 
    • Familiarity with the fundamentals of machine learning
    • Introducing a popular deep learning framework (Pytorch)
    • Introducing fully supervised medical image segmentation
    • Introducing natural language processing
    • Introducing transformers  
    • Introducing concepts in weakly and self-supervised learning
    • Best practices in deep learning research & model generalizability

McMedHacks 2023 Statistics

McMedHacks 2023 attracted 570 registrations from 54 countries!

From fields of studies and domains:

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