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Feasibility and Accuracy of Artificial Intelligence-Assisted Sponge Cytology for Community-Based Esophageal Squamous Cell Carcinoma Screening in China.
Gao, Ye; Xin, Lei; Feng, Ya-Dong; Yao, Bin; Lin, Han; Sun, Chang; An, Wei; Li, Zhao-Shen; Shi, Rui-Hua; Wang, Luo-Wei.
Affiliation
  • Gao Y; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • Xin L; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • Feng YD; Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, Jiangsu Province, China.
  • Yao B; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu Province, China.
  • Lin H; Nanjing Froeasy Technology Development Co, Ltd, Nanjing, Jiangsu Province, China.
  • Sun C; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • An W; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • Li ZS; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • Shi RH; Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, China.
  • Wang LW; Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, Jiangsu Province, China.
Am J Gastroenterol ; 116(11): 2207-2215, 2021 11 01.
Article in En | MEDLINE | ID: mdl-34546186
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal Neoplasms / Artificial Intelligence / Early Detection of Cancer / Esophageal Squamous Cell Carcinoma Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Am J Gastroenterol Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Esophageal Neoplasms / Artificial Intelligence / Early Detection of Cancer / Esophageal Squamous Cell Carcinoma Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Am J Gastroenterol Year: 2021 Document type: Article Affiliation country: Country of publication: