Abstract
In modern society, lung cancer stands as one of the most dangerous and commonly diagnosed cancers in North America. In recent years, lung cancer has caused more people to die than any other cancer. Most diseases like cancer get worse as time goes on, so the best way to combat it is to identify the disease in its early stages. However, lung cancer shares symptoms with many other diseases like COVID-19, asthma, and pneumonia which leads to doctors incorrectly diagnosing their lung cancer patients. If left unchecked, this catastrophic crisis will only lead to more deaths. Previous research studies have investigated if using Artificial Intelligence in Lung Cancer screening and treatment diagnosis would be successful but have yet to make a conclusive verdict. This paper has put together knowledge about lung cancer detection and artificial intelligence algorithms to determine whether AI can be accurately implemented to detect lung cancer.
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