International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com P J V G PRAKASA RAO 7 1 (January - February) 1970 01 January-February enLung CancerMachine LearningAIAgesHuman Beings Lung cancer is accountable for more deaths each year than all of the other leading cancers breast colon and prostate diseases combined and is the leading cause of cancer death worldwide A major problem to manage this disease is that there are no detectable symptoms early on and most of the time the disease is diagnosed at later and more advanced stage when it can no longer be treated effectively Traditional screening modalities chest xray and sputum cytology have shown poor success rates and although improvements in imagingstaging technology have occurred five year survival rates are still not high Machine learning ML and artificial intelligence AI algorithms are emerging as a potential solution to enhance the early detection classification and prediction of lung cancer status Several recent ML models such as deep learning support vector machines and ensemble models for the identification and prediction of lung cancer are explored We report their performance data sets investigated and shortcomings and discuss these findings in the context of future work directed towards clinically useful diagnostic systems Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 1970 All Rights Reserved