21 Hrs
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CNN Arabic
Source: CNN Arabic
21 HrsCNN Arabic
Source: CNN Arabic
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The article highlights the efforts of the Massachusetts General Brigham Cancer Institute in Boston to develop an artificial intelligence program capable of assessing lung cancer risk by analyzing a single CT scan image. The goal of this solution is to improve early detection, which identifies the disease at its initial stages when tumors are small, thereby facilitating treatment and increasing survival chances. The article points out that lung cancer causes the highest number of deaths among all types of cancer in the United States, and that screening procedures are not conducted adequately, especially due to misconceptions such as believing that the disease only affects smokers or that screening does not save lives, despite studies showing it can reduce mortality by up to 20%. Additionally, the article discusses how current screening criteria are insufficient to identify those at greatest risk, with interest in using AI models like the "Seppil" tool, which can accurately predict the likelihood of developing lung cancer over the next six years with an accuracy ranging from 86% to 94%. The survival rate for lung cancer patients diagnosed at early stages is about 80%, compared to around 8% when diagnosed late, underscoring the importance of early detection in improving patient outcomes.
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