Predictive modelling for high-risk stage II colon cancer using auto-artificial intelligence.

Journal: Techniques in coloproctology

Published Date: Aug 28, 2022

Abstract

BACKGROUND: Recently, stratification of high-risk stage II colon cancer (CC) and the need for adjuvant chemotherapy have been the focus of attention. The aim of this retrospective study was to define high-risk factors for recurrent stage II CC using Prediction One auto-artificial intelligence (AI) software and develop a new predictive model for high-risk stage II CC.

Authors

Tetsuo Ishizaki
Junichi Mazaki
Masanobu Enomoto
Ryutaro Udo

Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan.
Tomoya Tago

Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan.
Kenta Kasahara

Department of Gastrointestinal and Pediatric Surgery, Tokyo Medical University, Tokyo, Japan.
Yuichi Nagakawa

Keywords

Artificial Intelligence Chemotherapy, Adjuvant Colonic Neoplasms Humans Neoplasm Recurrence, Local Neoplasm Staging Prognosis Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (36031650)

Predictive modelling for high-risk stage II colon cancer using auto-artificial intelligence.

Abstract

Authors

Keywords

External Resources

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