AI in Oncology

Oncology AI-ML Solutions
Oncology AI-ML Solutions

We are planning to develop a comprehensive framework to advance oncology innovation through AI-ML solutions. This initiative will aim to enhance cancer diagnosis, bring efficiencies in treatment, optimize clinical workflows, and research.

Approach:

Below are our preliminary thoughts on the approach, centered around Accelerate - Promote - Transform Framework

Accelerate

Development of new AI-ML solutions by health tech companies

  • Identify and define NCG priority areas of focus and drive innovation.
  • Define validation methodology for testing AI-ML models.
  • Create open-source NCG Oncology Databank for training / validation.
  • Facilitate “piloting of new solutions” within NCG centres.

Promote

Use of proven AI-ML solutions across NCG centres

  • Validate AI-ML solutions based on NCG-defined guidelines.
  • Negotiate commercial terms to ensure attractive pricing for NCG centres.
  • Share case studies of successful use of specific AI-ML solutions with NCG centres to drive adoption
  • Host AI-ML solutions accessed by NCG centres (if needed).

Transform

Cancer care by leveraging AI-ML technologies

  • Enable healthcare professionals to define new areas to leverage AI-ML.
  • Collaborate with academic and research institutions to brainstorm and identify how new AI-ML technologies can be used to solve hard healthcare problems.
  • Define “big hairy problems”, create clinical / technical teams and funding needed to attack them with long-term R&D focus.

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