Artificial intelligence in breast pathology - dawn of a new era

Artificial intelligence methods are been increasingly used for analysis of pathology slides. In this issue of the Journal, Sandbank et al. describe the validation and utility of a robust second reader system that can distinguish in situ and standfirst invasive carcinomas from non-neoplastic lesions of the breast.

Automated summary

This article discusses the use of artificial intelligence methods for analyzing pathology slides. The authors describe a reliable second reader system that can differentiate in situ and advanced invasive carcinomas from non-neoplastic lesions of the breast.