AI in Healthcare: Lessons from Oncology Innovation

Speaker : Asba Tasneem

What is HealthCare AI ?

Application of ML & NLP technologies to improve various aspects of healthcare

  • Diagnostics
  • Treatment
  • Patient Care
  • Drug discovery
  • Operational Efficiencies

Key Ingredients to develop AI technology

  • Data Access
  • Collaboration
  • Domain Expertise
  • Funding
  • Regulatory Compliance

Developing an AI-enabled Medical Device

Oncology use case : Automating RECIST (Comparing the sizes of the tumors in CT scan over different periods to conclude whether the tumor is growing, staying the same or reducing in size)

  1. Data Collection
  2. Gold Standard Dataset
  3. AI model development
  4. Fine-tuning and evaluation
  5. Productization & Validation
  6. Regulatory Clearance
  7. Deployment and Monitoring