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Purpose. This article aims to apply the image processing technology based on machine learning in the detection of childhood diseases and propose the application of image processing technology to the detection of childhood diseases. This article introduces machine learning, image recognition technology, and related algorithms in detail and experiments on image recognition technology based on machine learning. The experimental results show that image recognition technology based on machine learning can well identify white blood cells that are difficult to distinguish with the naked eye, with a recognition rate of up to 90%. Applying image recognition technology based on machine learning in disease diagnosis has greatly improved the level of medical diagnosis.<\/jats:p>","DOI":"10.1155\/2022\/5658641","type":"journal-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T23:05:06Z","timestamp":1649891106000},"page":"1-14","source":"Crossref","is-referenced-by-count":13,"title":["Detection of Diseases Using Machine Learning Image Recognition Technology in Artificial Intelligence"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1955-4316","authenticated-orcid":true,"given":"Jian","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3626-5815","authenticated-orcid":true,"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoqiang","family":"Qi","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9935-9969","authenticated-orcid":true,"given":"Gang","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Data and Information, The Children\u2019s Hospital Zhejiang University School of Medicine, Hangzhou 310052, China"},{"name":"Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China"},{"name":"National Clinical Research Center for Child Health, Hangzhou 310052, China"},{"name":"Polytechnic Institute, Zhejiang University, Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1137\/10079923X"},{"issue":"3","key":"2","first-page":"1","article-title":"Physics-informed machine learning for predictive turbulence modeling: using data to improve RANS modeled Reynolds stresses","volume":"2","author":"J. 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