Enabling AI workflows in pathology

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.

Webinar programme

• 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 and 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