At present, the incidence and fatality rate of lung cancer in China rank first among all malignant tumors. Despite the continuous development and improvement of China's medical level, the overall 5-year survival rate of lung cancer patients is still lower than 20% and is staged. A number of studies have confirmed that early diagnosis and treatment of early stage lung cancer is of great significance to improve the prognosis of patients. In recent years, artificial intelligence technology has gradually begun to be applied in oncology. ai is used in cancer screening, clinical diagnosis, radiation therapy (image acquisition, at-risk organ segmentation, image calibration and delivery) and other aspects of rapid development. However, whether medical ai can be socialized depends on the public's attitude and acceptance to a certain extent. However, at present, there are few studies on the diagnosis of early lung cancer by AI technology combined with SCT scanning. In view of this, this study applied the combined method in early lung cancer screening, aiming to find a safe and efficient screening mode and provide a reference for clinical diagnosis and treatment.

The global Machine Learning in Manufacturing research report includes data on the world's largest manufacturers, exporters, and service providers.

Orbis Research Present's'Global Machine Learning Market' enlarge the decision making potentiality and helps to create an efficient counter strategies to gain competitive advantage. Machine Learning market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Machine Learning market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2020-2026. The study report offers a comprehensive analysis of Machine Learning market size across the globe as regional and country level market size analysis, CAGR estimation of market growth during the forecast period, revenue, key drivers, competitive background and sales analysis of the payers.

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