Cargando…
An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study
BACKGROUND: There are several models that predict the risk of recurrence following resection of localised, primary gastrointestinal stromal tumour (GIST). However, assessment of calibration is not always feasible and when performed, calibration of current GIST models appears to be suboptimal. We aim...
Autores principales: | Bertsimas, Dimitris, Margonis, Georgios Antonios, Tang, Seehanah, Koulouras, Angelos, Antonescu, Cristina R., Brennan, Murray F., Martin-Broto, Javier, Rutkowski, Piotr, Stasinos, Georgios, Wang, Jane, Pikoulis, Emmanouil, Bylina, Elzbieta, Sobczuk, Pawel, Gutierrez, Antonio, Jadeja, Bhumika, Tap, William D., Chi, Ping, Singer, Samuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507206/ https://www.ncbi.nlm.nih.gov/pubmed/37731933 http://dx.doi.org/10.1016/j.eclinm.2023.102200 |
Ejemplares similares
-
Explainable vs. interpretable artificial intelligence frameworks in oncology
por: Bertsimas, Dimitris, et al.
Publicado: (2023) -
The TNBS-induced colitis animal model: An overview
por: Antoniou, Efstathios, et al.
Publicado: (2016) -
Gene Alterations, Mediators, and Artificial Intelligence in Colorectal Liver Metastases
por: Wagner, Doris, et al.
Publicado: (2022) -
Is prognosis uniformly excellent in patients with stage II MSI-high colon cancer?
por: Wang, Jane, et al.
Publicado: (2022) -
Precision surgery for colorectal liver metastases: Current knowledge and future perspectives
por: Margonis, Georgios Antonios, et al.
Publicado: (2022)