Malignant mesothelioma (MM) is a vigorously progressing Tumor that results from mesothelium cells of various parts of the body in which pleura usually suffers. The important causes of MM are exposure to a mineral called asbestos, radiation, simian virus 40 infections, and also genetic disposition. The diagnosis of MM at the early stage plays a very important role in patient survival. Artificial intelligence techniques like PNN, and MLNN have been used so far in the classification of benign and malignant MM. The aim of the proposed work is to analyze all the artificial intelligence techniques used so far in the diagnosis of malignant mesothelioma. It also analyses Improved MTiling constructive neural network and SVM methods which could be further used in the diagnosis of malignant mesothelioma.