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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.
- 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
Resource details
| Contributed by: | Pathology Portal |
| Authored by: |
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| Licence: | © All rights reserved More information on licences |
| First contributed: | 20 May 2026 |
| Audience access level: | General user |
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