{"title":"Analysis of the role of artificial intelligence in pediatric radiography","authors":"Wenbin Gao","doi":"10.1117/12.2692600","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) as a technology that can increase efficiency and save human and material resources is growing rapidly in the medical field. Due to its high accuracy and speed, it has great potential in radiology, especially in the recognition of various imaging images. However, paediatric imaging has been neglected due to the limitations of various conditions in paediatrics, such as the large age differentiation. This essay focuses on various examples of successful attempts at AI in paediatric radiology through a literature analysis approach, analyzing its benefits and possible challenges. It also gets inspiration from other AI literatures and proposes more areas for future development. This paper has found a great deal of potential for AI in the field of paediatric medical imaging and more funding could be invested into its development.","PeriodicalId":432989,"journal":{"name":"International Conference on Modern Medicine and Global Health","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Modern Medicine and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2692600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) as a technology that can increase efficiency and save human and material resources is growing rapidly in the medical field. Due to its high accuracy and speed, it has great potential in radiology, especially in the recognition of various imaging images. However, paediatric imaging has been neglected due to the limitations of various conditions in paediatrics, such as the large age differentiation. This essay focuses on various examples of successful attempts at AI in paediatric radiology through a literature analysis approach, analyzing its benefits and possible challenges. It also gets inspiration from other AI literatures and proposes more areas for future development. This paper has found a great deal of potential for AI in the field of paediatric medical imaging and more funding could be invested into its development.