{"title":"Redefining QUAIDE: paving the way for better AI in preclinical endoscopy","authors":"Hui Li, Tiantian Zhang, Qin Guo, Shufen Zhou, Chengshan Guo","doi":"10.1136/gutjnl-2024-334324","DOIUrl":null,"url":null,"abstract":"We read with great interest the recent article by Antonelli et al 1 on the quality assessment for artificial intelligence in digestive endoscopy (QUAIDE) framework, which enhances the quality and reproducibility of artificial intelligence (AI)-based gastrointestinal endoscopy research. While QUAIDE provides a solid foundation for pre-clinical research design, we see opportunities for further improvement in several key areas. First, preclinical endoscopy AI research often involves sensitive patient data, requiring strict adherence to data privacy and ethical standards.2 Currently, the QUAIDE framework does not adequately address data privacy protection, particularly in terms of anonymisation, de-identification, data-sharing agreements and informed consent. Including these standards is crucial for ensuring patient data safety, especially in multicentre collaborations, where varying anonymisation practices across centres increase the risk of data breaches.3 Establishing unified data management …","PeriodicalId":12825,"journal":{"name":"Gut","volume":"24 1","pages":""},"PeriodicalIF":23.0000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gut","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/gutjnl-2024-334324","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
We read with great interest the recent article by Antonelli et al 1 on the quality assessment for artificial intelligence in digestive endoscopy (QUAIDE) framework, which enhances the quality and reproducibility of artificial intelligence (AI)-based gastrointestinal endoscopy research. While QUAIDE provides a solid foundation for pre-clinical research design, we see opportunities for further improvement in several key areas. First, preclinical endoscopy AI research often involves sensitive patient data, requiring strict adherence to data privacy and ethical standards.2 Currently, the QUAIDE framework does not adequately address data privacy protection, particularly in terms of anonymisation, de-identification, data-sharing agreements and informed consent. Including these standards is crucial for ensuring patient data safety, especially in multicentre collaborations, where varying anonymisation practices across centres increase the risk of data breaches.3 Establishing unified data management …
期刊介绍:
Gut is a renowned international journal specializing in gastroenterology and hepatology, known for its high-quality clinical research covering the alimentary tract, liver, biliary tree, and pancreas. It offers authoritative and current coverage across all aspects of gastroenterology and hepatology, featuring articles on emerging disease mechanisms and innovative diagnostic and therapeutic approaches authored by leading experts.
As the flagship journal of BMJ's gastroenterology portfolio, Gut is accompanied by two companion journals: Frontline Gastroenterology, focusing on education and practice-oriented papers, and BMJ Open Gastroenterology for open access original research.