INGESTION
Inputs from the LIS and WSIs make it possible to evaluate a case prospectively.
Intelligent Screening
for Pathology
Pathology is complex. Workflows shouldn’t be.
Meet SAINT
AI to screen for normal & benign
Meet SAINT
Triage normal GI
In GI pathology, most cases are normal and benign. We use AI to identify what is normal and what is not. This allows you to triage and prioritize accordingly and accelerate the review and reporting process.
Meet SAINT
Colorectal H&E screening
Our focus is on the high throughput diagnostics for routine cases initially in colorectal specimens. We evaluate all H&E slides to inform you what appears to be normal before you ever open the first image.
Meet SAINT
Built with pathology expertise
SAINT’s algorithms are developed in collaboration with board-certified pathologists, using expert-reviewed datasets and protocols to support rigorous precision.
Why it Matters
Speed and Accuracy
Workflow Acceleration
Designed to support more efficient review, SAINT can assist with case organization and highlighting cases for further evaluation. We help you focus your time on priority cases.
Evidence Based Recommendations
Created with expert input and validated with scientific rigor, SAINT provides clinical confidence and reduces diagnostic uncertainty.
Interoperable & Accessible
Built for integration within existing Pathology PACS (IMS) and LIS environments. SAINT is designed to integrate within your existing infrastructure, so results are available within the system you use today.
The Truth Loop
AI identification together with human verification
SAINT combines clinical information with image morphology. Those results are shared with you. You agree or disagree. You control the results that feed back to the LIS report.
The AI Engine
How it Works
THE TRIGGER
Specimens, slides, stains and image file formats that meet our model criteria are automatically evaluated.
THE RESULTS
Cases and slides are classified as normal or not normal and can be prioritized and reported accordingly.
Rapid insights
SAINT GI currently evaluates images and classifies colorectal cases for triage. Our goal is to use AI to make your work faster and more efficient.
Next Steps
SAINT GI is expanding beyond colorectal. We have our sights on gastric, esophageal and remaining GI specimen types. Our next goal is panGI classification.
And Beyond
We aim to take our expertise in GI classification and applying it to the outcome data we have accumulated. We are building prognostic models. The earlier we can identify flare-ups and condition advancement, the more helpful SAINT with be for you and the patients you serve.
Evidence, Not Anecdotes
Performance is evaluated scientifically. Sensitivity and specificity are publicly reported.
System Performance
The first release of our model boasts an industry leading 94.7% AUC. As new releases are available, new published performance results are available here.
SAINT Data
Millions of images including over 200k cases with diagnostic supervision.
SAINT is backed by world-class institutions
Developed in collaboration with academic and clinical research partners and supported by unique real-world data sources.
Our Story
LEADERSHIP & PEDIGREE
Santovia Path AI was founded on the principle that behind every pathology slide is a patient waiting for an answer.
Our purpose goes beyond building AI algorithms. We are translating advances in academic research into practical applications designed to support pathologists and, ultimately, the patients they serve.
Built upon Longitudinal Data from the Prima CARE healthcare network and developed in collaboration with the The Institute for Experiential AI and The Roux Institute at Northeastern University – Boston, in conjunction with the Amal Lab, our work brings together scientific rigor, responsible development, and a deep understanding of pathology workflows.
Our AI-powered digital pathology platform, SAINT, is designed to help pathologists identify relevant patterns, prioritize cases, and navigate complex pathology information more efficiently and consistently, while keeping the pathologist at the center of the process.
Because promising science is only the beginning. Making it useful means rigorously validating the technology, understanding how pathologists work, and building tools that can integrate into real world pathology environments.
Santovia Path AI is guided by a collaborative team of AI scientists, pathologists, and healthcare leaders working to advance computational pathology through explainable AI, with the potential to make the information within pathology more useful for research, discovery, and ultimately patient care.
