165: How AI Is Changing Cancer Diagnosis Insights from PathVision 2025

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Live from Pathology Visions 2025 in beautiful San Diego, I sat down with Imogen Fitt from Signify Research to explore how AI, digital pathology, and interoperability are transforming the way we diagnose cancer and deliver patient care.

The conference theme, “From Pixels to Patients,” perfectly captures this year’s shift — from theoretical discussions about AI to real-world implementation and measurable outcomes.

We’re no longer just asking “what can AI do?” — we’re seeing how it’s actually improving accuracy, reducing barriers, and connecting pathologists and labs worldwide.

What We Discuss

1️⃣ From Hype to Application
This year, the buzz wasn’t about AI’s potential — it was about how it’s being used. We highlight case studies showing how digital tools are reducing diagnostic errors, improving collaboration, and even helping smaller labs digitize faster and more affordably.

2️⃣ PathPresenter’s Expanding Role
We dive into PathPresenter’s innovative model that gives users access to digital pathology at no initial cost, opening the door for over 75,000 professionals across 62 institutions. I share why I personally use PathPresenter for teaching and how it’s helping lower the barrier to entry for education, consultations, and patient care.

3️⃣ New Scanning Technology and Accessibility
We talk about compact scanners like Grundium’s four-slide scanner and new miniature models that make digitization possible even in smaller labs. The message is clear: you don’t need a massive system to start going digital.

4️⃣ Collaboration and AI in Action
Imogen shares updates from across Europe and Asia, including how hospitals are tackling storage, AI regulation, and workflow efficiency. We discuss emerging partnerships—Fujifilm, Voicebrook, Dolby, and others—that are making voice dictation, chat agents, and real-time AI insights part of the modern pathology cockpit.

5️⃣ The Human Side of AI Adoption
We also reflect on how digital pathology is changing careers and training. Younger pathologists expect digital tools as part of their workflow — and many won’t settle for less. We discuss how this new generation is driving adoption and pushing institutions to modernize.

My Reflections

I still remember when digital pathology felt intimidating — when only a few people were “allowed” to touch the scanner. But today, that’s changed completely.

Now, we’re living in an era where AI and digital pathology are not optional — they’re essential. The technology has matured, and so has the mindset around it. What excites me most is seeing how collaboration and accessibility are becoming central to innovation.

Key Takeaways

• AI in pathology is moving from hype to practice — focused on improving patient outcomes.
• Accessibility matters: smaller, affordable scanners and open platforms are democratizing digital pathology.
• Collaboration between vendors, clinicians, and technologists is key to faster, smoother adoption.
• The next generation of pathologists expects — and demands — a digital-first workflow.

Listen Now to Learn:

• How AI is reshaping cancer diagnosis
• The tools driving real change in labs today
• How collaboration fuels digital transformation in pathology

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