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Developing Digital Twin Modelling for Lung Cancer Management Powered by Deep Learning-based Survival Analysis, Risk Stratification and Decision Support Recommendations

2026-07-29

Abstract excerpt

<title>Abstract</title> <p>Hybridization of artificial intelligence with Digital Twin (DT) modellinghas shown a great transformative potential in the healthcare sector, especially in diagnosing and managing thoracic diseases. Lung cancer remains one of the most common and deadly forms of cancer, emphasizing the critical need for early detection to improve patient survival rates. Despite advancements, current meth...

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Literature Corpus work
5ae034cb-51a7-5284-8425-491e1737c721
DOI
10.21203/rs.3.rs-10301806/v1
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Developing Digital Twin Modelling for Lung Cancer Management Powered by Deep Learning-based Survival Analysis, Risk Stratification and Decision Support RecommendationsDOI 10.21203/rs.3.rs-10301806/v1
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