Use of image-enhanced endoscopy to detect gastric premalignant lesions and early gastric cancer: time to leverage artificial intelligence to accomplish this task.
| Publicado en: | Gastrointestinal Endoscopy Vol. 102; no. 3; pp. 345 - 347 |
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| Autor principal: | |
| Formato: | Journal Article |
| Publicado: |
Elsevier B.V.
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187170984&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187170984 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00165107 4A9 jtl: Gastrointestinal Endoscopy issn: 00165107 maglogo: N pubinfo: dt: Sep2025 vid: 102 iid: 3 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 187170984 10.1016/j.gie.2025.03.635 187170984 ppf: 345 ppct: 2 formats: tig: atl: Use of image-enhanced endoscopy to detect gastric premalignant lesions and early gastric cancer: time to leverage artificial intelligence to accomplish this task. aug: au: Diehl, David L. affil: Geisinger Commonwealth School of Medicine, Department of Gastroenterology and Hepatology, Geisinger Medical Center, Danville, Pennsylvania, USA sug: subj: Stomach Neoplasms Diagnosis Precancerous Conditions Diagnosis Artificial Intelligence Endoscopy, Gastrointestinal Early Detection of Cancer Image Interpretation, Computer Assisted Image Enhancement Task Performance and Analysis pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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