AI Cancer Detection
for Pathology Labs
AI-powered cytology analysis that processes slides 10-20x faster with 20-30% less variability, at just 1-5% of traditional cost. Built for pathology labs to scale cancer screening.
The Challenge in Pathology
Cytology screening is critical for early cancer detection, but pathologists face significant challenges.
Time-Intensive
Manual cytology review takes 15-30 minutes per sample, creating bottlenecks in busy labs.
Variable Accuracy
Inter-observer variability leads to false negatives in 10-30% of cases, potentially missing early-stage cancer.
Growing Demand
Cancer screening volumes are increasing 15% annually, but pathologist workforce is shrinking.
AI-Augmented Cytology Analysis
VitrumAI acts as an intelligent assistant, pre-screening samples and highlighting regions of concern for pathologist review.
10-20x Faster
AI processes cytology slides in seconds, enabling pathologists to review significantly more cases per day without compromising accuracy.
20-30% Less Variability
Standardized AI screening eliminates inter-observer variability, ensuring consistent, reliable results across all pathologists and sites.
1-5% of Cost
Fraction of traditional diagnostic costs while maintaining accuracy, making advanced cancer screening accessible to more patients.
How VitrumAI Works
Seamless integration into existing pathology workflows
Upload
Pathologist uploads digital cytology slide images to the VitrumAI platform via secure connection.
Analyze
Our deep learning model scans the entire slide in seconds, identifying and flagging abnormal cell regions.
Review
Pathologist reviews AI-suggested regions, confirms diagnosis, and generates report—faster and with higher confidence.
Built for Precision
State-of-the-art machine learning architecture trained on diverse datasets
Deep Learning
Vision Transformer architecture trained to identify cellular patterns and anomalies with pathologist-level precision.
Big Data
Self-supervised learning trained on large-scale datasets for robust performance
Meet the Visionaries
Our team combines decades of experience in machine learning, pathology, and healthcare technology.
Meet Our Team
From Our Blog
Explore our latest thoughts on AI, healthcare, and the future of pathology
Cervical Cancer in India: A Problem We Can Actually Fix (But Aren't)
Despite having effective screening tools like the Pap smear, India faces a massive gap in cervical cancer prevention. With only 1-2% of eligible women ever screened and a critical shortage of pathologists to read test results, a largely preventable disease continues to claim tens of thousands of lives each year.
Ready to Transform Pathology?
Partner with VitrumAI to bring cutting-edge cancer detection to your lab.