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The application and research progress of artificial intelligence in the diagnosis of children′s community-acquired pneumonia / 中华实用儿科临床杂志
Chinese Journal of Applied Clinical Pediatrics ; (24): 318-320, 2022.
Article in Chinese | WPRIM | ID: wpr-930429
ABSTRACT
Community-acquired pneumonia (CAP) is the leading cause of death among children under 5 years of age globally.Due to the lack of medical resources, the incidence of severe pneumonia and even death is higher in less-developed areas.The early diagnosis and accurate treatment of CAP contribute to improve the prognosis.In recent years, the integration of artificial intelligence (AI) technology and medicine is becoming a research hotspot, which also provides a new idea for the diagnosis of CAP.This study aims to review the application and research progress of AI in the diagnosis of CAP based on clinical symptoms, physical examination and imaging examination, and analyzes the advantages and limitations of various auxiliary AI diagnostic algorithms.In the future, innovative methods will be provided for the diagnosis and treatment of CAP with the further advance in the application of AI, which will improve the diagnostic efficiency of CAP and reduce the death rate of pneumonia.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Screening study Language: Chinese Journal: Chinese Journal of Applied Clinical Pediatrics Year: 2022 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Screening study Language: Chinese Journal: Chinese Journal of Applied Clinical Pediatrics Year: 2022 Type: Article