Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis
Author:
Pei Qin1, Luo Yanan1, Chen Yiyu1, Li Jingyuan1, Xie Dan1, Ye Ting1ORCID
Affiliation:
1. Department of Laboratory Medicine , The Affiliated Hospital of Southwest Medical University , Luzhou , Sichuan , P.R. China
Abstract
Abstract
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, language recognition, image recognition, natural language processing, and expert systems. AI is poised to change medical practice, and oncology is not an exception to this trend. As the matter of fact, lung cancer has the highest morbidity and mortality worldwide. The leading cause is the complexity of associating early pulmonary nodules with neoplastic changes and numerous factors leading to strenuous treatment choice and poor prognosis. AI can effectively enhance the diagnostic efficiency of lung cancer while providing optimal treatment and evaluating prognosis, thereby reducing mortality. This review seeks to provide an overview of AI relevant to all the fields of lung cancer. We define the core concepts of AI and cover the basics of the functioning of natural language processing, image recognition, human-computer interaction and machine learning. We also discuss the most recent breakthroughs in AI technologies and their clinical application regarding diagnosis, treatment, and prognosis in lung cancer. Finally, we highlight the future challenges of AI in lung cancer and its impact on medical practice.
Funder
Doctoral Research Initiation Fund of Affiliated Hospital of Southwest Medical University the Sichuan Science and Technology Program for key Research and Development the National Natural Science Youth Fund Medical Science and Technology Project of Sichuan Provincial Health Commission
Publisher
Walter de Gruyter GmbH
Subject
Biochemistry (medical),Clinical Biochemistry,General Medicine
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