Advancing 90-day mortality and anastomotic leakage predictions after oesophagectomy for cancer using Explainable Artificial Intelligence
By applying XAI, we advance surgical understanding of anastomotic leakage and mortality after oesophagectomy. Our data contain significant nonlinear relationships that cannot be visualised LR. With XAI, we extract personalised risk assessments, bringing oesophageal surgery closer to personalised medicine.
Authors
- Sebastian Djerf (ORCID: https://orcid.org/0009-0006-1247-9452)
- Jan Johansson (ORCID: https://orcid.org/0000-0001-6564-6265)
- Oscar Åkesson (ORCID: https://orcid.org/0000-0003-1164-8286)
- Jakob Hedberg (ORCID: https://orcid.org/0000-0003-1308-4592)
- Magnus Nilsson (ORCID: https://orcid.org/0000-0002-6215-8132)
- Attila Frigyesi (ORCID: https://orcid.org/0000-0002-0155-4828)
- Mats Lindblad (ORCID: https://orcid.org/0000-0003-3575-6986)
Institutions
- Uppsala University (SE)
- Karolinska University Hospital (SE)
- Lund University (SE)
Publication Details
- Journal
- European Journal of Surgical Oncology
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1016/j.ejso.2025.111354
- Citations
- 1
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01