SRL Diagnostics enhances digital pathology with AI-powered diagnosis
SRL Diagnostics, the largest diagnostics company in India, partnered with Microsoft to enhance digital pathology capabilities by integrating Microsoft Azure and AI innovation. The collaboration is part of the AI Network for Healthcare, extending Microsoft’s efforts from eyecare and cardiology to pathology. The goal is to improve the accuracy, efficiency, and scale of histopathology analysis—including cancer detection—by augmenting the work of pathologists through AI-powered tools. This partnership leverages SRL’s extensive repository of over a million histopathology slides for AI model training, enabling rapid and error-reduced tissue analysis. The project aims to democratize healthcare access by improving population screening and reducing costs. The joint platform supports quicker, more accurate diagnoses, and is expected to minimize diagnostic errors, increase lab throughput, and enhance patient care. The initiative reflects SRL’s mission to offer high-quality and affordable diagnostic services to the masses, and Microsoft’s commitment to using technology to drive healthcare transformation in India and abroad. Key executives from both organizations emphasize the expected social and business value, with the prospect of eventual global expansion. Although results are presented as expected/anticipated, the intent and technical deployment are positioned as a referenceable model for digital transformation in pathology.
- Organization
- SRL Diagnostics
- Industry
- Healthcare
- Location
- India
- Published
- September 2018
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1AI-powered digital pathology for histopathology analysis
- 2Automated cancer and disease screening using cloud-based AI
- 3Population-scale diagnostic augmentation
- Growing prevalence of chronic diseases such as cancer creates pressure for fast, accurate diagnostics.
- Traditional biopsy sample analysis is prone to manual errors and capacity limitations.
- A need for enhanced population screening in India with scalable, affordable solutions.
- Histopathologists require support tools to process increasing case volumes efficiently.
- Developed an AI-driven digital pathology platform using Microsoft Azure cloud and AI Network for Healthcare.
- Trained AI algorithms on over 1 million histopathology slides.
- The system augments pathologists’ capabilities for more efficient tissue analysis and faster, more accurate diagnostics.
- Cloud-based system supports national scale and enables remote access.
- Faster diagnosis and improved accuracy for biopsy tissue analysis.
- Reduction in manual errors in diagnostic workflows.
- Increased daily sample processing capacity at diagnostic labs.
- Greater accessibility of diagnostic services across India.
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2019.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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