Clare McGenity
Clare McGenity
Digital Pathology Fellow, University of Leeds & Leeds Teaching Hospitals NHS Trust
E-mail megerősítve itt: leeds.ac.uk
Hivatkozott rá
Hivatkozott rá
Guidelines for clinical trials using artificial intelligence – SPIRIT‐AI and CONSORT‐AI
C McGenity, D Treanor
The Journal of Pathology 253 (1), 14-16, 2021
Improved pathology reporting in NAFLD/NASH for clinical trials
CR Langford, MH Goldinger, D Treanor, C McGenity, JR Dillman, ...
Journal of clinical pathology 75 (2), 73-75, 2022
Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines
C McGenity, P Bossuyt, D Treanor
Journal of Pathology Informatics 13, 100091, 2022
Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence
C McGenity, R Randell, C Bellamy, A Burt, A Cratchley, R Goldin, ...
Journal of Clinical Pathology 77 (1), 27-33, 2024
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
C McGenity, EL Clarke, C Jennings, G Matthews, C Cartlidge, ...
npj Digital Medicine 7 (1), 114, 2024
ENSURE-AI: Independent Evaluation of AI tools for Prostate Cancer in Pathology
C McGenity, G Matthews, D Wong, A Wright, C Kirkby, M Farzi, D Bansal, ...
OSF, 2024
Determining the diagnosis of an oncocytic renal neoplasm: a case report
C McGenity, S Vlies, JA Roulson
Diagnostic Histopathology, 2024
Public evidence on AI products for digital pathology
GA Matthews, C McGenity, D Bansal, D Treanor
medRxiv, 2024.02. 05.24302334, 2024
Importance of molecular testing in stratification of paediatric low-grade gliomas: a case study
C McGenity, O Anichtchik, A Ismail
Diagnostic Histopathology 29 (12), 563-565, 2023
Diagnostic test accuracy (DTA) of artificial intelligence in digital pathology: a systematic review, meta-analysis and quality assessment
C McGenity, E Clarke, C Jennings, G Matthews, C Cartlidge, ...
arXiv preprint arXiv:2306.07999, 2023
Navigating the reporting guideline environment for computational pathology: A review
C McGenity, D Treanor
arXiv preprint arXiv:2301.09985, 2023
A paediatric case of non-tuberculous mycobacterial infection in the neck
C McGenity, K Dekany, J Stahlschmidt
Diagnostic Histopathology 28 (10), 470-472, 2022
Reporting guidelines for pathology AI research-a review
C Mcgenity, D Treanor
VIRCHOWS ARCHIV 481 (SUPPL 1), S45-S45, 2022
An interesting case of a mucinous tumour of the breast
C McGenity, O Anichtchik, R Millican-Slater
Diagnostic Histopathology 28 (3), 176-179, 2022
A case of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL)
C McGenity, AL Cratchley
Diagnostic Histopathology 27 (4), 164-166, 2021
P53 Developing the landscape for artificial intelligence in liver pathology: a review and analysis of interobserver variation in Ishak and Knodell scoring for viral hepatitis
C McGenity, A Cratchley, D Treanor
Gut 69 (Suppl 1), A32-A33, 2020
AIM in Surgical Pathology
C McGenity, A Wright, D Treanor
Artificial Intelligence in Medicine, 1-18, 2020
Baroness Edith Clara Summerskill (1901–1980)
C McGenity, N Metcalfe
100 Notable Names from General Practice, 122-124, 2018
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–18