Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence

SIMPLE SUMMARY: The current scoring systems fail to reflect the patient’s real anatomy, as seen by the surgeon upon cytoreduction for advanced-stage epithelial ovarian cancer (EOC). Using artificial intelligence, we developed a novel intra-operative score based on specific weights assigned to the pa...

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Detalles Bibliográficos
Autores principales: Laios, Alexandros, Kalampokis, Evangelos, Johnson, Racheal, Munot, Sarika, Thangavelu, Amudha, Hutson, Richard, Broadhead, Tim, Theophilou, Georgios, Nugent, David, De Jong, Diederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913185/
https://www.ncbi.nlm.nih.gov/pubmed/36765924
http://dx.doi.org/10.3390/cancers15030966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913185/
https://www.ncbi.nlm.nih.gov/pubmed/36765924
http://dx.doi.org/10.3390/cancers15030966

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