Most cases in the field of anatomic pathology (AP) are negative for malignancy
The ability to prioritize cases for pathologist review based on the likelihood of cancer presence has the potential to streamline pathologist workflows and increase efficiency • Digital pathology/artificial intelligence (DP/AI) approaches, including through the use of AI-assist tools, may address this need
Here, we present the proof-of-concept development of a computer visionbased tumor detection model, TumorDetect, which was developed as a pathology pre-screening tool to facilitate case prioritization
Conference
USCAP 2025
View Presentation