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Journal of Pathology Informatics|August 30, 2026
Foundation artificial intelligence models enable high-accuracy diagnostic differentiation of hybrid neurofibroma/schwannoma using whole-slide imagesFabio Hellmann, Maxim Anokhin, Pascal Schimmler, et al.Journal of Pathology Informatics|September 19, 2026
Whole-slide imaging in hematopathology: Current state, challenges and future opportunitiesReyhaneh Norouziani, Shay Yakobov, Hamid R Tizhoosh, et al.Journal of Pathology Informatics|September 19, 2026
Ethical guidelines for deploying artificial intelligence applications in the pathology field: Lessons learned from a prospective framework in a large tertiary care academic medical centerKareem Hosny, Olivia VargasJournal of Pathology Informatics|October 19, 2026
Agentic AI workflows in anatomic pathology: Opportunities and challengesAndy Ngo, Roland Tian, Amin Mohammad, et al.Journal of Pathology Informatics|October 30, 2026
Deploying YOLO for whole-slide mitosis detection: A transparent, auditable, and reproducible pipeline for pathology AI-assisted diagnosis and decision-support toolPeter Omozokpia Obami, Aniruddha Ketkar, Samuel Ayobami Fasogbon, et al.Journal of Pathology Informatics|October 9, 2020
Deep Learning to Estimate Human Epidermal Growth Factor Receptor 2 Status from Hematoxylin and Eosin-Stained Breast Tissue ImagesDeepak Anand, Nikhil Cherian Kurian, Shubham Dhage, et al.Journal of Pathology Informatics|October 12, 2020
Improving Critical Value Notification through Secure Text MessagingTerrance James Lynn, Jordan Erik OlsonJournal of Pathology Informatics|October 12, 2020
A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to PatientsHetal Desai Marble, Richard Huang, Sarah Nixon Dudgeon, et al.Journal of Pathology Informatics|October 12, 2020
Colorectal Cancer Detection Based on Deep LearningLin Xu, Blair Walker, Peir-In Liang, et al.Journal of Pathology Informatics|December 21, 2020
UniTwain: A Cost-Effective Solution for Lean Gross ImagingHansen Lam, Ricky Kwan, Mark Tuthill, et al.Pageof 88