Development and technical validation of an artificial intelligence model for quantitative analysis of histopathologic features of eosinophilic esophagitis

• Main Authors: Luisa Ricaurte Archila (Author), Lindsey Smith (Author), Hanna-Kaisa Sihvo (Author), Thomas Westerling-Bui (Author), Ville Koponen (Author), Donnchadh M. O'Sullivan (Author), Maria Camila Cardenas Fernandez (Author), Erin E. Alexander (Author), Yaohong Wang (Author), Priyadharshini Sivasubramaniam (Author), Ameya Patil (Author), Puanani E. Hopson (Author), Imad Absah (Author), Karthik Ravi (Author), Taofic Mounajjed (Author), Rish Pai (Author), Catherine Hagen (Author), Christopher Hartley (Author), Rondell P. Graham (Author), Roger K. Moreira (Author)
• Format: Book
• Published: Elsevier, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: In an attempt to provide quantitative, reproducible, and standardized analyses in cases of eosinophilic esophagitis (EoE), we have developed an artificial intelligence (AI) digital pathology model for the evaluation of histologic features in the EoE/esophageal eosinophilia spectrum. Here...