Article

Singh, Mohit Kumar ORCID: https://orcid.org/0000-0001-7736-5583, Cosma, Georgina, Waterson, Patrick, Back, Jonathan and Jun, Gyuchan Thomas (2024) I-SIRCH: AI-powered concept annotation tool for equitable extraction and analysis of safety insights from maternity investigations. International Journal of Population Data Science (IJPDS), 9 (2):2439. ISSN 2399-4908 (Online) (doi:10.23889/ijpds.v9i2.2439)

Conference Proceedings

Cosma, Georgina, Singh, Mohit Kumar ORCID: https://orcid.org/0000-0001-7736-5583, Waterson, Patrick, Jun, Gyuchan Thomas and Back, Jonathan (2024) Intelligent multi-document summarisation for extracting insights on racial inequalities from maternity incident investigation reports. In: Artificial Intelligence in Healthcare First International Conference, AIiH 2024, Swansea, UK, September 4th – 6th, 2024, Proceedings, Part II. Lecture Notes in Computer Science ((LNCS), 14976 . Springer, Cham, Switzerland, pp. 316-329. ISBN 978-3031672842; 978-3031672859 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:10.1007/978-3-031-67285-9_23)

Cosma, Georgina, Singh, Mohit Kumar ORCID: https://orcid.org/0000-0001-7736-5583, Waterson, Patrick, Jun, Gyuchan Thomas and Back, Jonathan (2024) Unveiling disparities in maternity care: a topic modelling approach to analysing maternity incident investigation reports. In: Artificial Intelligence in Healthcare: First International Conference, AIiH 2024, Swansea, UK, September 4–6, 2024, Proceedings, Part I. Lecture Notes in Computer Science (LNCS), 14975 . Springer, Cham, Switzerland, pp. 295-308. ISBN 978-3031672774; 978-3031672781 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:10.1007/978-3-031-67278-1_23)