• >
  • >
  • >
  • >
  • >
Upload Avatar (500 x 500)
Huiqing Ge
Medical School
Zhejiang University
Zhejiang
Language: Chinese, English
Contact
Respiratory Failure Respiratory Support Diaphragm Dysfunction Respiratory Mechanics Artificial Intelligence Respiratory Rehabilitation Respiratory Therapy Mechanical Ventilation Chronic Respiratory Diseases Perioperative Respiratory Care
Areas of Focus
  • Respiratory Failure
  • Respiratory Support
  • Diaphragm Dysfunction
  • Respiratory Mechanics and Artificial Intelligence
  • Respiratory Rehabilitation and Therapy
Academic Background & Achievements
  • Medical Doctor
  • Over 20 years of experience in clinical, teaching, and research in respiratory therapy
  • International Visiting Scholar at the American Association for Respiratory Care (AARC) in 2010
  • Awarded the 'Adult Critical Care Respiratory Therapy Annual Award' by AARC in 2014
  • Member of the WHO Respiratory Therapy Expert Group since March 2020
  • Nominated as Fellow of AARC in September 2021
  • Published over 30 SCI papers
  • Authored and co-authored 11 professional books
  • First author and corresponding author of 5 expert consensus articles on respiratory therapy
Publications
  • Cellular senescence contributes to mechanical ventilation-induced diaphragm dysfunction by upregulating p53 signalling pathways, Shen W, Jiang Y, Xu Y, Qian X, Jia J, Ding Y, He Y, Pan Q, Zhuang J, Ge H*, Xu P, 2023
  • Estimated cardiorespiratory fitness and incident risk of cardiovascular disease in China, Liu Y, Zhu J, Guo Z, Yu J, Zhang X, Ge H*, Zhu Y*, 2023
  • PEEP application during mechanical ventilation contributes to fibrosis in the diaphragm, Xiaoli Qian1†, Ye Jiang1†, Jianwei Jia1†, Weimin Shen1, Yuejia Ding1, Yuhan He1, Peifeng Xu1, Qing Pan2, Ying Xu1 and Huiqing Ge1*, 2023
  • Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation, Qing Pan, Haoyuan Zhang, Mengting Jiang, Gangmin Ning, Luping Fang, Huiqing Ge*, 2022
  • Airway Pressure Release Ventilation Mode Improves Circulatory and Respiratory Function in Patients After Cardiopulmonary Bypass, a Randomized Trial, Ge H, Lin L, Xu Y, et,al., 2021
  • Risk Factors for Patient-Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm, Ge H, Duan K, Wang J, et al., 2020
  • Cumulative oxygen deficit is a novel predictor for the timing of invasive mechanical ventilation in COVID-19 patients with respiratory distress, Ge H, Zhou JC, Lv F, et al., 2020
  • Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data, Ge H, Pan Q, Zhou Y, et al., 2020
  • Nomogram for the prediction of postoperative hypoxemia in patients with acute aortic dissection, Huiqing Ge, Ye Jiang, Qijun Jin, et al., 2018
  • Effect of Nebulizer Location and Spontaneous Breathing on Aerosol Delivery During Airway Pressure Release Ventilation in Bench Testing, Hui-Qing Ge, Ji-Mei Wang, Hui-Ling Lin, et al., 2019
  • Nebulizer Location and spontaneous breathing on Aerosol Delivery during Airway Pressure Release Ventilation in Adult Lung Model, Hui-Qing Ge, JiMei Wang, 2018
  • The effect of airway pressure release ventilation on circulation and respiration in post-operation of cardiac surgery patients, Huiqing Ge, Ying Xu, 2018
  • Driving pressure variation in mechanical ventilation: Is it associated with ventilation associate events?, Huiqing Ge, Ling Lin, Qing Pan, Zhongheng Zhang, 2020
  • Electrical impedance tomography captures heterogeneous lung ventilation that may be associated with ineffective inspiratory efforts, Pan Q, Jia M, Ge H*, Zhao Z*, 2021
  • Assessment of respiratory system compliance under pressure control ventilation without an inspiratory pause maneuver, Pan Q, Pan J, Zhang Z, Fang L, Ge H*, 2021
  • Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning, Pan Q, Jia M, Liu Q, Zhang L, Pan J, Lu F, Zhang Z, Fang L, Ge H*, 2021
  • An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilation, Pan Q, Zhang L, Jia M, Pan J, Gong Q, Lu Y, Zhang Z, Ge H*, Fang L*, 2021
  • Detection of patient-ventilator asynchrony from mechanical ventilation waveforms using a two-layer long short-term memory neural network, Zhang L, Mao K, Duan K, Fang S, Lu Y, Gong Q, Lu F, Jiang Y, Jiang L, Fang W, Zhou X, Wang J, Fang L, Ge H*, Pan Q*, 2020
  • Practice pattern of aerosol therapy among patients undergoing mechanical ventilation in mainland China: A web-based survey involving 447 hospitals, Zhongheng Zhang, Peifeng Xu, Qiang Fang3, Penglin Ma, Huiling Lin, Jim B. Fink, Zongan Liang, Rongchang Chen, Huiqing Ge*, on behalf of the China Union of Respiratory Care (CURC), 2019
  • Diaphragmatic Dysfunction Is Characterized by Increased Duration of Mechanical Ventilation in Subjects with Prolonged Weaning, Zhihua Lu, Qiuping Xu, Yuehua Yuan, Ge Zhang, Feng Guo, Huiqing Ge* (Correspondence Author), 2016
  • Early predictors and screening tool developing for severe patients with COVID-19, Fang L, Xie H, Liu L, Lu S, Lv F, Zhou J, Xu Y, Ge H, Yu M, Liu L, 2021
  • Individualized Mechanical power-based ventilation strategy for acute respiratory failure formalized by finite mixture modeling and dynamic treatment regimen, Hong Y, Chen L, Pan Q, Ge H, Xing L, Zhang Z, 2021
  • Aerosol delivery via invasive ventilation: a narrative review, Lin HL, Fink JB, Ge H, 2021
  • Sigh in Patients With Acute Hypoxemic Respiratory Failure and ARDS: The PROTECTION Pilot Randomized Clinical Trial, Mauri T, Foti G, Fornari C, Grasselli G, Pinciroli R, Lovisari F, Tubiolo D, Volta CA, Spadaro S, Rona R, Rondelli E, Navalesi P, Garofalo E, Knafelj R, Gorjup V, Colombo R, Cortegiani A, Zhou JX, D'Andrea R, Calamai I, Vidal González Á, Roca O, Grieco DL, Jovaisa T, Bampalis D, Becher T, Battaglini D, Ge H, Luz M, Constantin JM, Ranieri M, Guerin C, Mancebo J, Pelosi P, Fumagalli R, Brochard L, Pesenti A, PROTECTION Trial Collaborators, 2021
  • Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values, Zhang Z, Pan Q, Ge H, Xing L, Hong Y, Chen P, 2020
  • Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome, Zhongheng Zhang, Bin Zheng, Nan Liu, Huiqing Ge, Yucai Hong, 2019
  • Enhanced recovery care versus traditional care after laparoscopic liver resections: a randomized controlled trial, Xiao Liang, Hanning Ying, Hongwei Wang, Hongxia Xu, Minjun Liu, Haiyan Zhou, Huiqing Ge, Wenbin Jiang, Lijun Feng, Hui Liu, Yingchun Zhang, Zhiying Mao, Jianhua Li, Bo Shen, Yuelong Liang, Xiujun Cai, 2017
  • Rational lung tissue and animal models for rapid breath, Yong Zhou, Enguo Chen, Xiaohong Wu, Yanjie Hu, Huiqing Ge, Peifeng Xu, Yingchang Zou, Joy Jin, Ping Wang, Kejing Ying, 2017
  • Diaphragmatic dysfunction in sepsis due to severe acute pancreatitis complicated by intra-abdominal hypertension, Wei-Chao Liao, Yan-Hong Chen, Hang-Yang Li, Ting-Ting Wang, Peng Lan, Kong-Han Pan, Hui-Qing Ge, Qiang-min Xie, Jian-Cang Zhou, 2018
Awards
  • Adult Critical Care Respiratory Therapy Annual Award (2014): Awarded by the American Association for Respiratory Care (AARC)
  • Fellow of AARC (2021): Nominated by the American Association for Respiratory Care
Post a Project

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that AGP may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from AGP.
Submit

Thank you for your message!
We will contact you soon.