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The role of artificial intelligence in lung cancer diagnosis and screening
One study showed that when utilizing data from electronic medical records and conventional chest x-rays, an AI algorithm was found to predict lung cancer over a 12-year period better than existing screening criteria and was associated with 31% fewer lung cancer cases being missed.
Learn about the potential of AI to address some of the most burdensome lung cancer screening and diagnostic challenges.
This eBook's highlights:
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A look at various lung cancer screening strategies.
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A closer look at research addressing the difficulties and complexities involved in lung cancer screening.
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Exploring the impact of AI on identifying high-risk individuals, radiation dose reduction & image quality improvement, lung nodule detection, segmentation, and classification.
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Discusses the hurdles to the adoption of AI in lung cancer screening and diagnosis and potential paths for future advancements.
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PP-CALA-ALL-1007-1 July 2024