Lung cancer prediction uses AI and imaging data to identify high-risk individuals before symptoms appear. Low-dose CT scans analyze nodules, while algorithms assess genetic and lifestyle factors. Smokers, former smokers, and those with family history benefit most, enabling earlier intervention and improved survival rates through proactive screening and personalized monitoring.
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