Department of Otolaryngology
Dr. Li is currently a research assistant professor in the Department of Otolaryngology at Vanderbilt University Medical Center. He obtained his M.D. degree from Fudan University in China, and Ph.D. degree in hearing and speech sciences from Vanderbilt University. He completed his residency training in otolaryngology in Shanghai Eye and ENT hospital. Dr. Li has been working in the field of otolaryngology for over 10 years. His research interests include neurolaryngology, voice disorder, hearing loss, and artificial intelligence. Most of his recent publications focus on the application of electrical stimulation to the laryngeal muscles as a treatment approach to vocal fold paralysis. He is currently working on an NIH-funded clinical trial to investigate using an implantable electrical stimulator in the treatment of bilateral vocal fold paralysis in humans. He is also interested in exploring a similar approach in the management of facial paralysis. In addition, he is now engaged in applying machine learning techniques in the detection and diagnosis of head and neck diseases.
An implantable system for In Vivo chronic electromyographic study in the larynx.
Muscle & nerve 05, 2017 | Pubmed ID: 27543847
Current Treatment Options for Bilateral Vocal Fold Paralysis: A State-of-the-Art Review.
Clinical and experimental otorhinolaryngology Sep, 2017 | Pubmed ID: 28669149
Deep Learning in Automated Region Proposal and Diagnosis of Chronic Otitis Media Based on Computed Tomography.
Ear and hearing Sep, 2019 | Pubmed ID: 31567561
Concurrent Occurrence of Congenital Ossicular Anomaly and Localized Cholesteatoma: Series of 10 Cases.
ORL; journal for oto-rhino-laryngology and its related specialties Mar, 2020 | Pubmed ID: 32203956
Blood Group O Protect End-Stage Renal Disease Patients With Dialysis From Coronary Artery Disease.
Frontiers in cardiovascular medicine , 2021 | Pubmed ID: 35155621
Predictive Value of the CHADS-VASc Score for Mortality in Hospitalized Acute Coronary Syndrome Patients With Chronic Kidney Disease.
Frontiers in cardiovascular medicine , 2022 | Pubmed ID: 35369355
Triglyceride glucose index exacerbates the risk of future cardiovascular disease due to diabetes: evidence from the China Health and Retirement Longitudinal Survey (CHARLS).
BMC cardiovascular disorders May, 2022 | Pubmed ID: 35597912
Evaluating the predictive value of diabetes mellitus diagnosed according to the Chinese guidelines (2020 edition) for cardiovascular events.
Diabetology & metabolic syndrome Sep, 2022 | Pubmed ID: 36163072
The triglyceride glucose index is associated with future cardiovascular disease nonlinearly in middle-aged and elderly Chinese adults.
BMC endocrine disorders Oct, 2022 | Pubmed ID: 36192720
The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
European journal of medical research Jan, 2023 | Pubmed ID: 36653875
Association between the triglyceride glucose index and in-hospital and 1-year mortality in patients with chronic kidney disease and coronary artery disease in the intensive care unit.
Cardiovascular diabetology May, 2023 | Pubmed ID: 37179310
Ziyu Guo1,
Ao Wang2,
Yanxiang Gao3,
Enmin Xie4,
Zixiang Ye1,
Yike Li4,
Xuecheng Zhao3,
Nan Shen1,
Jingang Zheng1
1Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine,
2Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education,
3Department of Cardiology, China-Japan Friendship Hospital. No 2 Yinghua Dongjie,
4, Graduate School of Chinese Academy of Medical Sciences and Peking Union Medical College
关于 JoVE
版权所属 © 2024 MyJoVE 公司版权所有,本公司不涉及任何医疗业务和医疗服务。