Researchers at Mass General Brigham have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.
Despite the improved efficacy of AI methods, a key question remains their reliability and explainability . The researchers demonstrated that their methods remained stable across inter-reader variations and differences in acquisition. Patterns identified by the foundation model also demonstrated strong associations with underlying biology, mainly correlating with immune-related pathways.
A two-pronged approach to imaging breast density in mice resulted in better detection of changes in breast tissue, including spotting early signs of cancer. The researchers hope that this approach ...