AI Solution for Lung Cancer Prediction

Abstract

Lung cancer is a prevalent chronic condition that is significantly influenced by lifestyle factors, environmental exposures, and genetic predispositions. With smoking being the leading risk factor, habits such as poor diet and lack of physical activity also contribute to the disease's onset and progression [1]. Lung cancer, one of the leading causes of cancer-related deaths worldwide, has a staggering impact on public health, accounting for approximately 25% of all cancer fatalities [2]. In 2022, healthcare expenditures related to lung cancer treatment reached an estimated $18 billion in the United States alone, representing a growing financial burden on both the healthcare system and society. Approximately 230,000 new cases of lung cancer are diagnosed each year in the U.S., with survival rates remaining low, particularly due to late-stage diagnosis [3]. The troubling trend of increasing incidence rates calls for urgent attention, as projections suggest that by 2030, the number of new cases could rise significantly if preventive measures are not implemented. This white paper aims to emphasize the importance of lifestyle modifications, early detection strategies, and public awareness campaigns to mitigate the risks associated with lung cancer [4], ultimately seeking to improve patient outcomes and reduce mortality rates linked to this chronic illness.