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世界卫生组织&ampITU&ampWIPO:2025人工智能在传统医学中的应用:技术报告(中译版)(52页).pdf

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1、Mapping the application of artificial intelligence in traditional medicine1Mapping the application of artificial intelligence in traditional medicineTechnical briefMapping the application of artificial intelligence in traditional medicineTechnical briefMapping the application of artificial intellige

2、nce in traditional medicine:technical briefISBN(WHO)978-92-4-010766-3(electronic version)ISBN(WHO)978-92-4-010767-0(print version)ISBN(ITU)978-92-61-39921-4(electronic version)ISBN(ITU)978-92-61-39911-5(print version)World Health Organization and International Telecommunication Union,2025Some rights

3、 reserved.This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO licence(CC BY-NC-SA 3.0 IGO;https:/creativecommons.org/licenses/by-nc-sa/3.0/igo).Under the terms of this licence,you may copy,redistribute and adapt the work for non-commercial purposes,provided

4、 the work is appropriately cited,as indicated below.In any use of this work,there should be no suggestion that WHO or ITU endorses any specific organization,products or services.The unauthorized use of the WHO or ITU names or logos is not permitted.If you adapt the work,then you must license your wo

5、rk under the same or equivalent Creative Commons licence.If you create a translation of this work,you should add the following disclaimer along with the suggested citation:“This translation was not created by the World Health Organization(WHO)or the International Telecommunication Union(ITU).Neither

6、 WHO nor ITU are responsible for the content or accuracy of this translation.The original English edition shall be the binding and authentic edition”.Any mediation relating to disputes arising under the licence shall be conducted in accordance with the mediation rules of the World Intellectual Prope

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根据报告的内容,本文主要概括了以下关键点: 1. **传统医学的重要性**:传统医学在全球范围内被广泛使用,尤其在低收入和中等收入国家,是实现全民健康覆盖的关键支柱。 2. **人工智能在传统医学中的应用**:人工智能在传统医学中的应用包括疾病诊断、临床决策支持系统、药物研发、知识保存和政策制定等方面。例如,利用机器学习算法分析基因组数据与阿育吠陀原则,以识别疾病预测标记。 3. **监管环境**:大多数国家制定了传统医学政策和人工智能法规,但将两者结合的法规较少。需要探索人工智能政策与传统医学之间的协同效应。 4. **数据治理**:数据治理模型强调集体利益、控制权、责任和伦理,以保护土著人民和当地社区的数据权利。 5. **全球合作框架**:《阿斯塔纳宣言》强调初级卫生保健的重要性,包括传统医学在内的全民健康覆盖。2030年可持续发展议程强调信息通信技术在促进人类进步和缩小数字鸿沟方面的作用。 6. **挑战与机遇**:尽管数字化和数字化的潜力在传统医学中尚未充分挖掘,但人工智能为传统医学的发展提供了机遇。
AI如何助力传统医学发展? 传统医学数字化面临哪些挑战? 如何保护原住民医药知识?
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