This webinar provides a structured introduction into AI in pathology, demystifying key concepts without requiring a technical background. It explores how AI models are developed, validated, and deployed, with a focus on trust, reliability, and regulatory challenges. This webinar also outlines practical considerations for AI adoption, including validation, bias mitigation, and clinical integration.

Here is the programme of the webinar:

  • AI for Global-scale Digital Pathology, an RCPath perspective - Professor Sarah Coupland
  • Rubrics for Standardized assessments of Data, Models and Inference: Towards Multi-agentic Workflows - Professor Arvind Rao
  • AI in current Pathology Practice: Case studies/Use-cases, Promise and Opportunities/Challenges - Professor Danny Jonigk
  • How imaging-based AI is shaping translational research driven by pathologists and subsequent clinical applications - Professor Swapnil Rane
  • How AI in genomics and transcriptomics is shaping translational research and subsequent clinical applications - Dr Sandeep Dave
  • Empowering Patients & Patient Advocates to Have Agency in the Use of AI for Their Clinical Management - Jane Slade
  • Summary of the state of the field and Directions for the Future, including Machine Learning - Professor Runjan Chetty
  • Q&A session - Professor Naresh Kikkeri