Data scientists from the University of St Andrews and pathologists from NHS GG&C are working to develop & train AI on cases from the national database for automated reporting of endometrial and cervical biopsies. The developed algorithms will be integrated into clinical workflow, and using the national reporting system, can be scaled across the whole of NHS in Scotland with the aim of reducing gynaecological pathology reporting time by 50%.
Aims & Objectives
The key objectives of the project are:
- To create an AI algorithm for classification of endometrial neoplasia (adenocarcinoma, hyperplasia with atypia) from biopsies.
- To create an AI algorithm for identification of cervical biopsies as either benign or cancerous. For cancerous biopsies, classification of these as: invasive squamous or adeno-carcinoma, intra-epithelial neoplasia (low grade (including HPV and CIN1) and high grade (including CIN2 and CIN3)
Work Package Leader: University of St.Andrews
Contributing Partners: NHS GGC