Dana-Farber and Weill Cornell Develop AI Tools to Enhance Digital Pathology

Jul 11, 2024, 07:13 AM

Scientists from Dana-Farber Cancer Institute and Weill Cornell Medicine have developed new artificial intelligence (AI) tools tailored to digital pathology. These tools utilize high-resolution digital images created from tissue samples to help diagnose diseases and guide treatment. The collaboration aims to enhance diagnostic precision and efficiency through AI-pathologist synergy. Researchers, including Gabrielle Campanella and Thomas Fuchs from Icahn School of Medicine at Mount Sinai, have benchmarked eight pathology foundation models, such as UNI, Virchow, and Prov-GigaPath, on large-scale datasets for clinical diagnosis and biomarker discovery. The project also involves MohamedOmarMD, renato_umeton, and TheLancet. Additionally, a digital pathology framework called nuclei has been developed to further boost diagnostic accuracies. This development is part of a growing field that leverages AI to improve healthcare outcomes.