Jeff Allen, President and CEO of Friends of Cancer Research, shared a post on LinkedIn about a paper he co-authored with colleagues, published in Modern Pathology:
“New publication: Artificial intelligence-enabled technologies are rapidly being developed to help diagnose and analyze cancers. In this new manuscript, we evaluate the consistency of results provided by different digital pathology tools used to evaluate a key biomarker in breast cancer. It provides a case example for how common datasets can be used to assess performance and ensure accuracy for new tools that help guide the next generation of targeted therapies.
This work was done through the Friends of Cancer Research Digital PATH Project and is part of our broader diagnostic harmonization portfolio of projects. We are grateful to all of our partners in this innovative research!
Read the full publication in Modern Pathology.
More info on the Digital PATH Project.”
Title: Agreement Across 10 Artificial Intelligence Models in Assessing Human Epidermal Growth Factor Receptor 2 (HER2) Expression in Breast Cancer Whole-Slide Images
Authors: Brittany McKelvey, Pedro A. Torres-Saavedra, Jessica Li, Glenn Broeckx, Frederik Deman, Siraj Ali, Hillary S. Andrews, Salim Arslan, Meir Azulay, Santhosh Balasubramanian, J.C. Barrett, Peter Caie, Ming Chen, Daniel Cohen, Tathagata Dasgupta, Diana Fahrer, George Green, Mark Gustavson, Sarah Hersey, Ana Hidalgo-Sastre, Shahanawaz Jiwani, Elaine Joseph, Wonkyung Jung, Kimary Kulig, Vladimir Kushnarev, Jochen K. Lennerz, Xiaoxian Li, Meredith Lodge, Joan Mancuso, Mike Montalto, Satabhisa Mukhopadhyay, Foivos Ntelemis, Matthew Oberley, Pahini Pandya, Oscar Puig, Edward T. Richardson, Alexander Sarachakov, Mark Stewart, Lisa M. McShane, Roberto Salgado, and Jeff Allen.
You can read the Full Article in Modern Pathology.
More posts featuring Jeff Allen.