Towards an artificial intelligent study of the upper aero-digestive tract cancer

Abstract

Author(s): Rajaa EL Gotai*, Hicham Jalal and Abdelhamid EL Omrani

The use of artificial intelligence (AI) in epidemiological studies of the upper aerodigestive tract can help analyze large amounts of data quickly and accurately. In this article, epidemiological studies were carried out on the number of patients who received oral care before treatment, age and gender, type of tumor, treatment and TNM classification (number of T, M, N). We will carry out an epidemiological study of the UADT using the linear regression test to analyze the risk factors for upper respiratory tract diseases. In this context, the variables studied will be related to the number of patients who received oral care before treatment, age and gender, type of tumor, treatment and TNM classification (number of T, M, N. We will carry out a study using artificial intelligence on the possibility of implementing an intelligent model for the UADT. The variables Family history, Medical history, Weight, Passive, Weaned, Profession, Non-smoker, Smoking, Socio-economic level, Alcoholism, Surgical history, Number of packs/ year, Gender, Place of residence, Age, Cigarettes, significantly influences the Oral condition.. However, they don't influence the surgical treatment. We have conducted epidemiological studies on the number of patients who received oral care before treatment, considering their age and gender, tumor type, treatment, and TNM classification (number of T, M, N). Additionally, we attempted to explore the use of artificial intelligence to implement an intelligent model for studying the epidemiology of UADT (Upper Aerodigestive Tract) cancers.

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