The Medical AI Podcast Episode 59: How is AI changing pathology? With Imogen Fitt of Signify Research
Jun 16, 2025
Imogen Fitt, a principal analyst at Signify Research with a focus on healthcare technology, dives into how AI is revolutionizing pathology, a key tool in cancer diagnostics. She discusses the shift from traditional microscopy to digital pathology, emphasizing AI's role in improving accuracy and efficiency. Imogen explores the integration of AI with precision medicine, enabling personalized treatment. The conversation also highlights advancements spurred by the COVID-19 pandemic and the ethical considerations of AI in healthcare, painting an exciting picture for the future.
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Digital Pathology Explained
- Digital pathology transitions diagnosis from microscope slides to digital images, enabling remote access and advanced analysis.
- This shift facilitates instantaneous sharing and application of AI to enhance pathology workflows.
Real-World Digital Pathology Examples
- Black Country Pathology digitizes slides for pathologists to review digitally and explore AI applications.
- US sites provide secondary consultation internationally via digital pathology to address workforce shortages.
Pathology Workflow Overview
- Pathologists analyze biopsies by evaluating cell features under microscopes or digital images.
- Digital pathology supports ongoing diagnosis, treatment monitoring, and surveillance sampling.