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AI based Autosegmentation in Radiation Oncology.

AI based Autosegmentation in Radiation Oncology.

April 2025

This session spotlighted how AI is transforming radiation oncology through autosegmentation technologies. Experts from Tata Medical Center, Kolkata, presented DRAW - a deep learning-based radiotherapy automatic segmentation workflow designed to improve accuracy and efficiency in treatment planning.

Additionally, the session featured a real-world experience shared by Dr. Khyati Vasavada from Rajkot Cancer Hospital, reflecting on the impact of the Digital Health Foundation Course (DHFC) on clinical workflows.

The webinar also included updates on key KCDO initiatives such as the NCG EMR deployment, the Digital Solutions Library, and upcoming priorities for the network.

  • DRAW - A case study on auto segmentation solution for radiotherapy
    Speaker Names - Dr. Santam Chakraborty, Senior Consultant, Radiation Oncology, Tata Medical Center, Kolkata and Dr. Indranil Mallick, Senior Consultant, Radiation Oncology, Tata Medical Center, Kolkata
  • Insights from DHFC Course Training at Rajkot Cancer Hospital
    Speaker Name - Dr. Khyati Vasavada, Medical Director & Surgical Oncologist, Rajkot Cancer Hospital

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