PROJECT TEAM
Thomas Hartvig Lindkær Jensen, Senior consultant at the Pathology Department, Danish National Hospital, Copenhagen
THE NEED
Pathology departments are transitioning from traditional to digital microscopy, producing 2–4 terabytes of data daily per department. Currently, this valuable information is largely discarded due to lack of affordable storage solutions. Meanwhile, pathologists lack AI tools that can assist with routine tasks, as existing commercial solutions are narrow, non-transparent “black box” systems. This results in slower diagnoses and delays in patient treatment.
THE SOLUTION
Our platform enables AI to observe and learn in real-time alongside the pathologist, inferring tissue characteristics at a single-cell level. Multiple neural networks work simultaneously to classify cells, reducing bias and ensuring high precision. Integrated directly into a digital microscopy viewer, the platform acts as a subtle virtual overlay, providing insights while enabling pathologists to build custom datasets, train models, and control data storage intelligently.
Pathology AI - Rigshospitalet
Call 1 - 2022
500.000 DKK
Clinical Area
Pathology
Technology
AI
PROJECT SUMMARY
The AI Pathology project uses real-time machine vision and digital microscopy to support pathologists. By learning from their observations, it builds strong AI models, enhances diagnostics, and reduces data storage needs—without losing critical information.
CLINICAL IMPACT
The solution reduces diagnostic delays, enhances pathologists’ ability to detect critical findings, and optimizes data management by retaining only the most valuable information. By integrating AI as a collaborative tool rather than a black-box decision-maker, the platform increases efficiency, supports personalized workflows, and accelerates clinical decision-making for patients awaiting treatment.