Developing a Novel Artificial Intelligence Framework to Measure the Balance of Clinical Versus Nonclinical Influences on Posthepatectomy Length of Stay
This study is the first to measure the true influence of clinical factors on posthepatectomy LOS, showing that they explain 75% of the variability. Furthermore, it indirectly evaluated the overall impact of hard-to-measure nonclinical factors, revealing that they account for 25% of LOS.
Authors
- Mohamad El Moheb (ORCID: https://orcid.org/0000-0002-1897-2145)
- Samantha M. Ruff (ORCID: https://orcid.org/0000-0001-5275-6705)
- Russell Gardner Witt (ORCID: https://orcid.org/0000-0003-3747-8633)
- Koen Putman (ORCID: https://orcid.org/0000-0002-7235-3759)
- Chengli Shen (ORCID: https://orcid.org/0000-0003-4731-2872)
- Allan Tsung (ORCID: https://orcid.org/0009-0002-3927-6429)
Institutions
- University of Virginia (US)
Publication Details
- Journal
- Annals of Surgical Oncology
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1245/s10434-025-16942-5
- Citations
- 3
- Primary Topic
- Colorectal Cancer Screening and Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.14