The Future of Cancer Diagnosis: Digital Pathology and AI
Inference by Turing Post
Generative AI and Explainability Limits
Akash warns that generative models lack clear failure modes and stresses explainability for clinical adoption.
Digital pathology is a very new field, but an important one, considering that the US is facing a large shortage of pathologists.
*What you’ll learn:*
- What “digital pathology” actually is – and why scanning glass slides changes everything
- Where AI already helps today and where it’s still just a very promising technology
- Why explainability, failure modes, and data standards decide clinical adoption
- What is the real bottleneck for using AI in pathology and diagnosis
- How agentic workflows might enter the lab in pieces first
- A practical timeline for digitization, FDA-type approvals, and hospital rollouts
- The human role that stays
*Big idea:* Digitize first. Validate carefully. Then scale tools that clinicians trust. Telepathology expands access. Good AI here speaks the pathologist’s language. Remember – AI that can’t explain itself in clinical terms won’t ship.
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*Guest:* Akash Parvatikar, AI Scientist, leading PathologyMap at HistoWiz
https://www.linkedin.com/in/akash007/
https://home.histowiz.com/pathology_map/
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*Chapters:*
1:22 - The Current State and Future of AI in Cancer Diagnostics
2:27 - Real-World vs. Aspirational AI Breakthroughs in Patient Outcomes
3:36 - Evolution of AI Usage by Clinicians
4:47 - The Technical Challenges of AI in Pathology
7:22 - The Role of Generative AI in Diagnostics
8:42 - The Potential of Agentic AI Workflows in Pathology
9:50 - Key Bottlenecks in AI for Pathology
12:13 - About the Pathology Map Platform
13:49 - Navigating Regulations in AI-Powered Diagnostics
14:40 - The Human Impact of AI in Cancer Diagnostics
16:40 - What is Digital Pathology?
18:21 - Timeline for Mainstream Adoption of AI in Pathology
19:42 - The "Spotify for Precision Medicine"
20:20 - The Future Role of Humans in AI-Assisted Pathology
21:36 - The Economics of AI in Pathology
22:48 - Concerns and Excitations About the Future of AI in Pathology
24:43 - Book Recommendation
Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.
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#DigitalPathology #AIMedicine #CancerDiagnostics #PrecisionMedicine #BreastCancerAwareness #EarlyDetection #AIForGood
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