Each year, over 2.5 million people, most of them in developed countries, die from pneumonia [1]. Since many studies have proved pneumonia is successfully treatable when timely and correctly diagnosed, many of diagnosis aids have been developed, with AI-based methods achieving high accuracies [2]. However, currently, the usage of AI in pneumonia detection is limited, in particular, due to challenges in generalizing a locally achieved result. In this report, we propose a roadmap for creating and integrating a system that attempts to solve this challenge. We also address various technical, legal, ethical, and logistical issues, with a blueprint of possible solutions.

翻译：每年有250多万人死于肺炎[1],其中多数在发达国家。由于许多研究证明肺炎在及时、正确诊断后可以成功治疗,因此已经开发了许多诊断辅助工具,以AI为基础的方法达到了高度的适应[2],然而,目前,在肺炎检测中使用AI的情况有限,特别是由于在推广地方取得的成果方面存在挑战。我们在本报告中提出了创建和整合一个试图解决这一难题的系统的路线图。我们还处理各种技术、法律、道德和后勤问题,并制定了可能的解决办法蓝图。