Factors Predicting Surgical Effort Using Explainable Artificial Intelligence in Advanced Stage Epithelial Ovarian Cancer

SIMPLE SUMMARY: In the era of personalized medicine, Artificial Intelligence (AI) has emerged as a powerful tool with growing applications in the field of gynaecologic oncology. However, AI applications are encountered with several challenges derived from their “black-box” nature, which limits their...

Descripción completa

Detalles Bibliográficos
Autores principales: Laios, Alexandros, Kalampokis, Evangelos, Johnson, Racheal, Munot, Sarika, Thangavelu, Amudha, Hutson, Richard, Broadhead, Tim, Theophilou, Georgios, Leach, Chris, Nugent, David, De Jong, Diederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316555/
https://www.ncbi.nlm.nih.gov/pubmed/35884506
http://dx.doi.org/10.3390/cancers14143447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316555/
https://www.ncbi.nlm.nih.gov/pubmed/35884506
http://dx.doi.org/10.3390/cancers14143447

Ejemplares similares