Smart Materials Enabled with Artificial Intelligence for Healthcare Wearables

被引:67
|
作者
Zheng, Youbin [1 ,2 ]
Tang, Ning [1 ,2 ]
Omar, Rawan [1 ,2 ]
Hu, Zhipeng [1 ,2 ,3 ]
Duong, Tuan [1 ,2 ]
Wang, Jing [1 ,2 ]
Wu, Weiwei [4 ]
Haick, Hossam [1 ,2 ,4 ]
机构
[1] Technion Israel Inst Technol, Dept Chem Engn, IL-3200003 Haifa, Israel
[2] Technion Israel Inst Technol, Russell Berrie Nanotechnol Inst, IL-3200003 Haifa, Israel
[3] Xi An Jiao Tong Univ, Sch Chem, Xian 710126, Peoples R China
[4] Xidian Univ, Interdisciplinary Res Ctr Smart Sensors, Sch Adv Mat & Nanotechnol, Xian 710126, Peoples R China
基金
中国博士后科学基金; 欧盟地平线“2020”;
关键词
artificial intelligence; detection; monitoring; sensors; wearables; ELECTROCHEMICAL SENSORS; COLORIMETRIC DETECTION; CARBON NANOTUBES; ECONOMIC BURDEN; OPTICAL SENSOR; BREAST-CANCER; LUNG-CANCER; POLYMER; NANOPARTICLES; GLUCOSE;
D O I
10.1002/adfm.202105482
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Contemporary medicine suffers from many shortcomings in terms of successful disease diagnosis and treatment, both of which rely on detection capacity and timing. The lack of effective, reliable, and affordable detection and real-time monitoring limits the affordability of timely diagnosis and treatment. A new frontier that overcomes these challenges relies on smart health monitoring systems that combine wearable sensors and an analytical modulus. This review presents the latest advances in smart materials for the development of multifunctional wearable sensors while providing a bird's eye-view of their characteristics, functions, and applications. The review also presents the state-of-the-art on wearables fitted with artificial intelligence (AI) and support systems for clinical decision in early detection and accurate diagnosis of disorders. The ongoing challenges and future prospects for providing personal healthcare with AI-assisted support systems relating to clinical decisions are presented and discussed.
引用
收藏
页数:20
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