Artificial intelligence-powered remote monitoring of patients with chronic obstructive pulmonary disease.
10.1097/CM9.0000000000001529
- Author:
Xuying LI
1
;
Hao-Peng ZHOU
2
;
Zhi-Jun ZHOU
3
;
Nan DU
4
;
Er-Heng ZHONG
4
;
Ke ZHAI
5
;
Nathan LIU
5
;
Linfu ZHOU
6
Author Information
1. Stanford Center for Professional Development, Stanford University, Palo Alto, CA 94305, USA.
2. Department of Medicine, Jiangsu University School of Medicine, Zhenjiang, Jiangsu 212013, China.
3. Institute of Radio Frequency & Optical Electronics-Integrated Circuits, School of Information and Engineering, Southeast University, Nanjing, Jiangsu 210096, China.
4. Wenjing Technologies, Shanghai 200020, China.
5. Dawnlight Technologies, Palo Alto, CA 94304, USA.
6. Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu 210029, China.
- Publication Type:Journal Article
- MeSH:
Artificial Intelligence;
Humans;
Pulmonary Disease, Chronic Obstructive/diagnosis*
- From:
Chinese Medical Journal
2021;134(13):1546-1548
- CountryChina
- Language:English
