To address these issues of limited time and diagnostic variability, we built an automated detection algorithm that can naturally complement pathologists’ workflow. Our algorithm was designed to be highly sensitive to make it easier for pathologists to find even small instances of breast cancer metastasis in lymph node biopsies. You can learn more about our findings in this paper and blog post.
We’re encouraged by these results, but we think they’re just the beginning. There’s significant opportunity for AI to improve the accuracy and availability of healthcare, and we hope that our research will serve as one of many demonstrations of that potential.
As part of this ongoing exploration, we’re also partnering with healthcare providers to see how machine learning might predict healthcare events. You can read more about our research collaborations in this blog post.