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Chris Wood discusses how early diagnostics of lung cancer through artificial intelligence and medical imaging can lead to better survival rates through early intervention. 

• Lung cancer takes more lives than breast, prostate and colon cancer combined, with approximately 70% of cases caught at late stages
• The National Lung Screening Trial showed that screening high-risk populations reduced mortality by 20%
• I-ELCAP research demonstrated an 80% twenty-year survival rate for early-stage cancers detected with CT scans and treated surgically
• Preventive healthcare is shifting from general advice to personalized screening protocols based on individual risk factors
• AI applications in medical imaging now assist with detection, characterization, and triage of disease
• Lung biopsies have a 22% complication rate, making non-invasive diagnostic methods particularly valuable
• AI-powered imaging can provide additional information to help clinicians decide whether to perform biopsies
• In clinical trials, AI imaging analysis could improve patient selection and help trials reach endpoints more efficiently 
• Medical imaging gives patients visual information about their bodies that can motivate healthier lifestyle changes
• The future of healthcare will likely focus on improving quality of life rather than simply extending lifespan

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