[论文解读] Focus Group on Artificial Intelligence for Health

Marcel Salathé, Thomas Wiegand+1 more|arXiv (Cornell University)|Sep 13, 2018

Artificial Intelligence in Healthcare and Education参考文献 4被引用 51

一句话总结

一份白皮书，概述ITU/世界卫生组织焦点小组AI4H，以识别国际标准化机会并建立一个带有开放基准的AI在健康领域评估框架。

ABSTRACT

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.

研究动机与目标

• 识别健康领域AI国际标准化的机会。
• 提出一个用于评估基于AI的健康方法的带有开放基准的标准化评估框架。
• 明确职责并在跨国范围内建立对AI健康解决方案的信任。
• 通过国际合作支持AI在健康领域的全球应用。

提出的方法

• 描述AI4H焦点小组及其在ITU与世界卫生组织之间的伙伴关系。
• 提出一个用于评估基于AI的健康方法的带有开放基准的标准化评估框架。
• 概述预期成果，包括国际标准化和AI在健康领域的全球适用性。

实验结果

研究问题

• RQ1 通过FG-AI4H在健康领域的AI国际标准化有哪些机会？
• RQ2 如何为基于AI的健康方法（诊断、分诊、治疗决策）设计带有开放基准的标准化评估框架？
• RQ3 在健康领域中（例如诊断、分诊、治疗）应优先在AI4H下进行评估的领域有哪些？

主要发现

• 该文件是一份提出FG-AI4H的范围、目标和结构的提案。
• 它确立了促进健康领域AI国际标准化的目标。
• 它概述了创建AI健康方法开放基准和评估框架的计划。
• 本白皮书未报告任何经验结果或实验数据。