Track 1: AI & Health Engineering | 人工智能与健康工程

Organizers 组织者信息

  • Chair: Xinli Zhang, Ting Zhu - Sichuan University 张欣莉 四川大学
  • Co-Chair: Ting Zhu - Sichuan University 朱婷 四川大学

Abstract 论坛简介

数字健康工程涉及领域广泛,如设施健康、设备健康和生命健康等领域,而且面向多个数字技术的应用场景,如数字化健康诊断与评估、数字化健康预警、预测与干预等。数字健康工程属于跨学科的研究范畴,在提高健康效率与公平方面扮演者重要的角色。本次分论坛将充分交流人工智能技术赋能全社会健康发展与安全,找到促进可持续发展的关键路径。

Digital Health Engineering covers a wide range of fields, such as facility health, equipment health, and life health, and is suitable for multiple digital technologies applications scenarios, such as digital health diagnostics and assessment, digital health early warning, prediction and intervention, etc. Digital health engineering is an interdisciplinary research field that plays an important role in improving health efficiency and equity. In this session, we will communicate the using of artificial intelligence to empower the healthy development of the whole society, and to explore the important routine for sustainable development.

Topics 主题范围

  • 人工智能与设施健康 / AI & Facility Health
  • 人工智能与设备健康 / AI & Equipment Health
  • 人工智能与生命健康 / AI & Life Health
  • 人工智能与项目健康 / AI & Project Healthcare
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