arXiv 1809.047972018-09-13cs.AIcs.CY

健康人工智能焦点小组

Focus Group on Artificial Intelligence for Health

EPFL (École Polytechnique Fédérale de Lausanne)（洛桑联邦理工学院）；TU Berlin（柏林工业大学）；Fraunhofer HHI（弗劳恩霍夫海因里希·赫兹研究所）

Marcel Salathé, Thomas Wiegand, Markus Wenzel

备注：: Whitepaper on ITU Focus Group AI4H for 1st workshop at WHO

摘要：

人工智能（AI）-机器能够解决需要人类智能的问题的现象-在过去十年中，由于有效性和使用的显着进步，人们对AI的兴趣大幅增加。卫生部门是全球社会和经济最重要的部门之一，鉴于所有类型的健康信息正在进行数字化，因此对人工智能应用特别感兴趣。人工智能在健康领域的潜力是巨大的，因为人工智能可以在任何地方以更低的成本支持医疗决策。然而，由于人工智能算法的复杂性，很难区分基于人工智能的解决方案的好坏，也很难了解它们的优缺点，这对于明确责任和建立信任至关重要。为此，国际电信联盟（ITU）与世界卫生组织（WHO）合作成立了一个新的“人工智能促进健康”焦点小组（FG-AI 4 H）。保健和护理服务通常由政府负责--即使是通过私人保险系统提供的--因此由世卫组织/国际电联成员国负责。FG-AI 4 H将确定国际标准化的机会，这将促进AI在全球范围内应用于健康问题。特别是，它将建立一个标准化的评估框架，其中包括用于评估基于AI的健康方法的开放基准，例如基于AI的诊断，分流或治疗决策。

英文摘要：

Artificial Intelligence (AI) - the phenomenon of machines being able to solve problems that require human intelligence - has in the past decade seen an enormous rise of interest due to significant advances in effectiveness and use. The health sector, one of the most important sectors for societies and economies worldwide, is particularly interesting for AI applications, given the ongoing digitalisation of all types of health information. The potential for AI assistance in the health domain is immense, because AI can support medical decision making at reduced costs, everywhere. However, due to the complexity of AI algorithms, it is difficult to distinguish good from bad AI-based solutions and to understand their strengths and weaknesses, which is crucial for clarifying responsibilities and for building trust. For this reason, the International Telecommunication Union (ITU) has established a new Focus Group on "Artificial Intelligence for Health" (FG-AI4H) in partnership with the World Health Organization (WHO). Health and care services are usually the responsibility of a government - even when provided through private insurance systems - and thus under the responsibility of WHO/ITU member states. FG-AI4H will identify opportunities for international standardization, which will foster the application of AI to health issues on a global scale. In particular, it will establish a standardized assessment framework with open benchmarks for the evaluation of AI-based methods for health, such as AI-based diagnosis, triage or treatment decisions.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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