Digital Pathology

Use AI to automate pathology image analysis for faster, accurate diagnostics and precision medicine

Business impact

• Diagnostic accuracy — AI improves detection and classification of pathology images, reducing errors
• Time to diagnosis — Automated analysis shortens turnaround times for pathology results
• Operational efficiency — Streamlined workflows reduce manual labor and increase lab throughput
• Patient outcomes — Faster, precise diagnoses enable timely and personalized treatment decisions
• Workflow efficiency — Integration of AI tools optimizes pathologist productivity and collaboration
• Cost reduction — Automation lowers costs by reducing manual review and annotation efforts
• Research productivity — Enhanced data analysis accelerates biomarker discovery and drug development
• Turnaround time — Digital workflows enable faster case processing and reporting

Data requirements

• Whole-slide images (WSI) (Image) — Primary data for AI analysis of tissue morphology and pathology
• Genomic data (DNA/RNA sequencing) (Structured) — Integrate molecular profiles to enhance diagnostic insights
• Clinical patient records (Structured) — Contextualize pathology findings with patient history and outcomes
• Pathology reports and annotations (Text) — Train AI models using expert-labeled diagnostic information
• Laboratory information systems (LIS) (Structured) — Source for workflow data and case metadata integration

AI methods and techniques

• Predictive AI — Used to classify pathology images and predict disease subtypes accurately
• Generative AI — Synthesizes realistic histopathology images for data augmentation and privacy
• Agentic AI — Automates diagnostic workflows and integrates with clinical decision systems
• Symbolic AI — Incorporates domain knowledge and rules to support explainable diagnostics

AI models and model families

GPT-4o, Claude, Llama, NVIDIA BioNeMo, Vision-language foundation models

Industries

Real-world evidence

10 documented case studies on record.

Companies using this: Bio IVT, Grundium, Ligo Lab, Oxford University Hospitals NHS Foundation Trust, Philips, Pix Cell, Roche Holding AG, Techcyte Inc, Tempus, Veracyte.