世界内窥镜检查组织对世界卫生组织关于人工智能促进卫生的全球倡议的回应。

IF 4.7
Nayantara Coelho-Prabhu, Purnima Bhat, Rakesh Kalapala, Junaid Mushtaq, Hisao Tajiri, Yuichi Mori
{"title":"世界内窥镜检查组织对世界卫生组织关于人工智能促进卫生的全球倡议的回应。","authors":"Nayantara Coelho-Prabhu, Purnima Bhat, Rakesh Kalapala, Junaid Mushtaq, Hisao Tajiri, Yuichi Mori","doi":"10.1111/den.70011","DOIUrl":null,"url":null,"abstract":"<p><p>In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (AI) for Health, the World Endoscopy Organization (WEO) highlights the unique challenges and opportunities AI presents for gastrointestinal endoscopy, particularly in resource-limited settings. While AI technologies have shown promise in improving diagnostic accuracy and efficiency in high-resource environments, their implementation in low- and middle-income countries is hindered by infrastructural, economic, regulatory, and training barriers. This commentary explores how these challenges may exacerbate existing healthcare disparities, emphasizing the need for localized datasets, affordable AI models, simplified regulatory frameworks, and workforce capacity building. The WEO supports WHO's call for equitable AI deployment and advocates for region-specific solutions, including mobile and offline AI tools, public-private partnerships, locally developed algorithms aligned with prevalent disease patterns, and a flexibly adapted regulatory framework. By leveraging WEO's training networks and fostering collaboration among governments, clinicians, and industry, the integration of AI into endoscopy can become more accessible and relevant to underserved populations. The commentary underscores that AI should not be seen as a luxury but as a tool to bridge global disparities in care quality. Ensuring responsible and inclusive AI integration requires both global coordination and context-specific adaptations to truly benefit all healthcare systems.</p>","PeriodicalId":72813,"journal":{"name":"Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"World Endoscopy Organization's Response to the World Health Organization's Global Initiative on Artificial Intelligence for Health.\",\"authors\":\"Nayantara Coelho-Prabhu, Purnima Bhat, Rakesh Kalapala, Junaid Mushtaq, Hisao Tajiri, Yuichi Mori\",\"doi\":\"10.1111/den.70011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (AI) for Health, the World Endoscopy Organization (WEO) highlights the unique challenges and opportunities AI presents for gastrointestinal endoscopy, particularly in resource-limited settings. While AI technologies have shown promise in improving diagnostic accuracy and efficiency in high-resource environments, their implementation in low- and middle-income countries is hindered by infrastructural, economic, regulatory, and training barriers. This commentary explores how these challenges may exacerbate existing healthcare disparities, emphasizing the need for localized datasets, affordable AI models, simplified regulatory frameworks, and workforce capacity building. The WEO supports WHO's call for equitable AI deployment and advocates for region-specific solutions, including mobile and offline AI tools, public-private partnerships, locally developed algorithms aligned with prevalent disease patterns, and a flexibly adapted regulatory framework. By leveraging WEO's training networks and fostering collaboration among governments, clinicians, and industry, the integration of AI into endoscopy can become more accessible and relevant to underserved populations. The commentary underscores that AI should not be seen as a luxury but as a tool to bridge global disparities in care quality. Ensuring responsible and inclusive AI integration requires both global coordination and context-specific adaptations to truly benefit all healthcare systems.</p>\",\"PeriodicalId\":72813,\"journal\":{\"name\":\"Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/den.70011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/den.70011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为响应世界卫生组织(世卫组织)关于人工智能促进卫生的全球倡议,世界内窥镜检查组织(WEO)强调了人工智能为胃肠道内窥镜检查带来的独特挑战和机遇,特别是在资源有限的情况下。虽然人工智能技术在提高高资源环境中的诊断准确性和效率方面显示出希望,但在低收入和中等收入国家实施人工智能技术受到基础设施、经济、监管和培训障碍的阻碍。本评论探讨了这些挑战如何加剧现有的医疗保健差距,强调需要本地化数据集、负担得起的人工智能模型、简化的监管框架和劳动力能力建设。《世界经济展望》支持世卫组织关于公平部署人工智能的呼吁,并倡导针对特定区域的解决方案,包括移动和离线人工智能工具、公私伙伴关系、当地开发的符合流行疾病模式的算法,以及灵活调整的监管框架。通过利用WEO的培训网络并促进政府、临床医生和行业之间的合作,将人工智能整合到内窥镜检查中,可以使服务不足的人群更容易获得和相关。评论强调,人工智能不应被视为奢侈品,而应被视为弥合全球护理质量差距的工具。确保负责任和包容性的人工智能整合既需要全球协调,也需要根据具体情况进行调整,以真正使所有医疗保健系统受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
World Endoscopy Organization's Response to the World Health Organization's Global Initiative on Artificial Intelligence for Health.

In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (AI) for Health, the World Endoscopy Organization (WEO) highlights the unique challenges and opportunities AI presents for gastrointestinal endoscopy, particularly in resource-limited settings. While AI technologies have shown promise in improving diagnostic accuracy and efficiency in high-resource environments, their implementation in low- and middle-income countries is hindered by infrastructural, economic, regulatory, and training barriers. This commentary explores how these challenges may exacerbate existing healthcare disparities, emphasizing the need for localized datasets, affordable AI models, simplified regulatory frameworks, and workforce capacity building. The WEO supports WHO's call for equitable AI deployment and advocates for region-specific solutions, including mobile and offline AI tools, public-private partnerships, locally developed algorithms aligned with prevalent disease patterns, and a flexibly adapted regulatory framework. By leveraging WEO's training networks and fostering collaboration among governments, clinicians, and industry, the integration of AI into endoscopy can become more accessible and relevant to underserved populations. The commentary underscores that AI should not be seen as a luxury but as a tool to bridge global disparities in care quality. Ensuring responsible and inclusive AI integration requires both global coordination and context-specific adaptations to truly benefit all healthcare systems.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信