Application of generative artificial intelligence to utilize unstructured clinical data for acceleration of inflammatory bowel disease research
The Institute for Life Sciences, University of Southampton, the NIHR Southampton BRC, and EPSRC (EP/Y01720X/1).
Authors
- Sarah Ennis (ORCID: https://orcid.org/0000-0003-2648-0869)
- Zachary Green (ORCID: https://orcid.org/0000-0002-2907-5538)
- Bhumita Vadgama
- James John Ashton (ORCID: https://orcid.org/0000-0003-0348-8198)
- R Mark Beattie (ORCID: https://orcid.org/0000-0003-4721-0577)
- Iman Nazari (ORCID: https://orcid.org/0000-0002-2584-0909)
- Ashley Heinson (ORCID: https://orcid.org/0000-0001-8695-6203)
- Michael R. George
- Jonathan B. Baker
- Christopher Kipps (ORCID: https://orcid.org/0000-0002-5205-9712)
- Matthew Stammers (ORCID: https://orcid.org/0000-0003-3850-3116)
- Alexandre Zacharie Kadhim (ORCID: https://orcid.org/0000-0001-5600-0411)
Institutions
- Southampton General Hospital (GB)
- University Hospital Southampton NHS Foundation Trust (GB)
- NIHR Southampton Respiratory Biomedical Research Unit (GB)
- NIHR Southampton Biomedical Research Centre (GB)
- Southampton Children's Hospital (GB)
- University of Southampton (GB)
Publication Details
- Journal
- Med
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1016/j.medj.2025.100895
- Citations
- 1
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 1.82