Artificial intelligence useful in accurately predicting survival in larynx squamous cell carcinoma
South Korea: Cancer is one of the leading causes of death worldwide. A recent study has found that by leveraging emerging technologies, the use of AI (artificial intelligence) in the screening and diagnosing of cancer helps predict the survival rate more accurately and improves patient outcomes with larynx squamous cell carcinoma (LSCC).
In the study, a deep neural network (DNN) with multi-class was revealed to be a suitable method for survival prediction. AI analysis may predict survival more accurately and improve oncologic outcomes.
Choi N and team conducted a single-centre, retrospective study to investigate the potential survival rates of 1026 patients with larynx squamous cell carcinoma (LSCC) who received definitive treatment from 2002 to 2020. This article has been published in Scientific reports.
Researchers in this study aim to develop a survival prediction model using deep neural network (DNN) with multi-classification and regression, random survival forest (RSF), and Cox proportional hazards (COX-PH) model for prediction of overall survival for patients with laryngeal squamous cell carcinoma (LSCC) treated in a single tertiary centre. Also, various clinical factors should be considered when predicting the survival of LSCC patients.
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