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The Journal of Pathology|October 5, 2020
Guidelines for clinical trials using artificial intelligence - SPIRIT-AI and CONSORT-AI†Clare McGenity, Darren TreanorJournal of Pathology Informatics|October 21, 2022
Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts GuidelinesClare McGenity, Patrick Bossuyt, Darren TreanorNPJ Digital Medicine|October 25, 2024
Public evidence on AI products for digital pathologyGillian A Matthews, Clare McGenity, Daljeet Bansal, et al.Scientific Reports|December 5, 2024
Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathologyAndrew Broad, Alexander Wright, Clare McGenity, et al.Computers in Biology and Medicine|March 23, 2025
Liver-Quant: Feature-based image analysis toolkit for automatic quantification of metabolic dysfunction-associated steatotic liver diseaseMohsen Farzi, Clare McGenity, Alyn Cratchley, et al.Pediatric and Developmental Pathology : the Official Journal of the Society for Pediatric Pathology and the Paediatric Pathology Society|November 18, 2024
Whole Slide Imaging, Artificial Intelligence, and Machine Learning in Pediatric and Perinatal Pathology: Current Status and Future DirectionsJ Ciaran Hutchinson, Jennifer Picarsic, Clare McGenity, et al.NPJ Digital Medicine|May 4, 2024
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracyClare McGenity, Emily L Clarke, Charlotte Jennings, et al.Journal of Pathology Informatics|July 21, 2025
Development of a national pathology training system using digital pathology and SNOMED-CTClare McGenity, Alyn Cratchley, Jocelyn Aldridge, et al.Journal of Clinical Pathology|January 4, 2023
Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligenceClare McGenity, Rebecca Randell, Christopher Bellamy, et al.Pageof 1