Current and Future Application of Artificial Intelligence in Clinical Medicine

Author(s): Shigao Huang*, Jie Yang, Kun Lan, Sunny Yaoyang Wu, Simon Fong and Qi Zhao

DOI: 10.2174/9781681088419121010010

Current Status and Future Outlook of Deep Learning Techniques For Nodule Detection

Pp: 86-95 (10)

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Current and Future Application of Artificial Intelligence in Clinical Medicine

Current Status and Future Outlook of Deep Learning Techniques For Nodule Detection

Author(s): Shigao Huang*, Jie Yang, Kun Lan, Sunny Yaoyang Wu, Simon Fong and Qi Zhao

Pp: 86-95 (10)

DOI: 10.2174/9781681088419121010010

* (Excluding Mailing and Handling)

Abstract

This chapter reports that Artificial Intelligence (AI) in clinical oncology includes deep learning for detecting the lung nodules and other algorithms for analyzing the nodules to acquire an early diagnosis of nodules and tumors. Therefore, the early diagnosis is of great significance in the treatment of lung cancer or precancerous disease. Also, the early detection of nodules can improve the treatment effects and reduce the chance of misdiagnosis.


Keywords: Artificial intelligence, Deep learning, Lung nodule, Lung nodule detection, Nodule detection.

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