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亚太经合组织(APEC):医疗生态系统数字化转型的人工智能(AI)政策建议-案例研究报告(中译版)(16页).pdf

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1、Artificial Intelligence(AI)Policy Recommendation on Digital Transformation for Healthcare Ecosystem-Case Study ReportAPEC Policy Partnership on Science,Technology and Innovation December 2021Artificial Intelligence(AI)Policy Recommendation on Digital Transformation for Healthcare Ecosystem CASE STUD

2、Y REPORT APEC Policy Partnership on Science,Technology and Innovation December 2021 APEC Project:PPSTI 02 2020A Produced by Chen-Yang Hsu Industrial Technology Research Institute,Chinese Taipei For Asia Pacific Economic Cooperation Secretariat 35 Heng Mui Keng Terrace Singapore 119616 Tel:(65)68919

3、600 Fax:(65)68919 690 Email:infoapec.org Website:www.apec.org 2021APEC Secretariat APEC#221-PP-01.71 Contents Executive Summary.2 1.Introduction.32.Background.43.Case Study Report.54.Conclusion.11References.12 2 Executive Summary The rapid progression and breakthroughs in computation science have le

4、d to the emergence of innovative devices by using algorithms of artificial intelligence(AI)and machine learning(ML)in recent years.Together with the big data analytics facilitated by digital health platforms,these novel AI/ML devices are reshaping the landscape of healthcare at an accelerated pace.F

5、acing the revolution in healthcare rooted in AI/ML,the incorporation of these novel devices into the workflow for the provision of healthcare can be a challenging task as a result of professional autonomy,interpretability,technical issues associated with the internet,data format,digital platforms,an

6、d hardware,economic considerations,and cultural context.As an illustration,Chinese Taipei demonstrated the implementation of AI Box,an AI/ML-based device for the detection of diabetic retinopathy in the primary care unit of Dr.Kaos Clinic in a resource limited community,Fuxing district,Taoyuan city

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本文主要介绍了人工智能(AI)在医疗数字化转型中的应用案例。文章通过案例研究,展示了AI技术在糖尿病视网膜病变筛查中的应用,以提高医疗服务的可及性和质量。 关键点包括: 1. 台湾地区人口老龄化,糖尿病等慢性病患者数量增加,对医疗服务提出更高要求。 2. 糖尿病视网膜病变是糖尿病的主要并发症之一,早期筛查对预防失明至关重要。 3. AI技术可以辅助医生进行糖尿病视网膜病变的筛查,提高筛查效率和准确性。 4. 台湾工业技术研究院开发的AI Box设备,可以在资源有限的社区医疗中心使用,通过远程会诊,为糖尿病患者提供眼底检查服务。 5. 在台湾桃园市复兴区,Dr. Kao诊所利用AI Box设备,提高了糖尿病视网膜病变的筛查率,改善了当地居民的医疗服务。 6. 该案例展示了AI技术在医疗数字化转型中的应用,为其他亚太经合组织(APEC)成员提供了借鉴。
糖尿病视网膜病变的早期检测如何实现? AI技术如何助力医疗数字化转型? 如何在资源有限的地区推广AI医疗设备?
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