The deadly disease of lung cancer is the leading cause of malignancy-related mortality worldwide owing to its diagnosis at a later stage. About 75% of those with lung cancer die within five years of diagnosis. But, when the cancer is found early, the prognosis is much better and the tumor receives timely treatment when it is confined to the lung cancer. The need for early detection of lung cancer has fuelled the development of Artificial Intelligence system which has the ability to detect even smaller lung tumors.
Artificial intelligence plays a vital role in the imaging inspection, histopathology examination, screening and genomics inspection of lung cancer. It helps in finding the early stages of lung cancer. Such AI developments help to make cancer screening more precise and accessible to all. In spite of significant advancements in the diagnosis and treatment of lung cancer, but it is still associated with poor clinical outcomes. Scientists are findings promising results using Artificial Intelligence programme to identify signs of lung cancer.
When AI algorithms are coupled with available clinical and biomedical data, it has the potential to improve lung cancer screening methods. They have the potential to improve the analysis and interpretation of lung images obtained by MRI or CT scans. This could be helpful in better analyzing the clinical significance of data derived from tissue or fluid biomarkers. With the unlimited capacity of computers for analyzing data and images, AI tools including machine learning and deep learning are capable of identifying imaging features from CT images specific to lung cancer. This, in turn, helps in accurately differentiating between benign and cancerous nodules.
Artificial Intelligence is ready to become an integral part of lung cancer screening in the near future. The other benefits also cover reducing unnecessary diagnostic interventions, cost of screening and more.
The information shared in this blog is for educational purposes only and is certainly not a substitute for medical advice. Please consult your healthcare practitioner for any medical needs.