An Overview of how Novel AI-enhanced Blood Testing Technology can Diagnose Lung Cancers with High Accuracy Rates

Abstract

Lung cancer is one of the largest leading causes of cancer-related deaths worldwide, “accounting for the highest mortality rates among both men and women.”[1]. Lung Cancer is the abnormal growth of cells that grow in an uncontrollable way in the lungs [5]. According to the World Health Organization (2023), cancer incidence and mortality produced by the International Agency for Research on Cancer (IARC) show that lung cancer remains the leading cause of cancer death, with an estimated 1.8 million deaths (18%) in 2020 [1]. Despite the availability of treatments such as chemotherapy and radiotherapy, the cases of lung cancer continue to rise over time. This increase is due to factors like the development of resistance to treatments, delayed treatments, and new cancerous growth in previously treated individuals. The World Health Organization (2023), have established that early detection can increase the chances of successful treatment and improve outcomes [1]. Through the new advancements in the technology used for the detection of lung cancer, researchers at the Johns Hopkins Kimmel Cancer Center found a novel artificial intelligence blood testing technology that detected over 90% of lung cancers in samples from about 800 individuals with and without cancer [3]. This research paper serves as a comprehensive review on lung cancer, focusing on the new detection method which uses novel AI blood testing, while reviewing its etiology and preventions.