This research highlights a new artificial intelligence model that Providence, Microsoft, and the University of Washington used to diagnose cancer. The open-access model called Prov-GigaPath was developed and used to analyze more than a billion tissue sample images from 30,000 patients. While much more remains to be done, the AI-assisted approach to digital pathology opens new possibilities to advance patient care and accelerate clinical discovery.
The effort to develop Prov-GigaPath used Microsoft-developed AI tools to identify patterns in 1.3 billion pathology image tiles obtained from 171,189 digital whole-slides provided by Providence. The researchers say this was the largest pre-training effort to date with whole-slide modeling — drawing upon a database five to 10 times larger than other datasets such as the The Cancer Genome Atlas
This study includes authors from Providence Genomics, Microsoft, the University of Washington and other organizations.
Read more:
Nature Paper: A whole-slide foundation model for digital pathology from real-world data
Press Release: With the potential to transform cancer diagnostics, Providence contributes to innovative AI model
Media: WindowsReport; InOurCircle/Providence
