
Fangliang Xing
Beijing Intelligent Entropy Science & Technology Co. Ltd., Department of R & D
Dr. Fangliang Xing serves as Chief AI Scientist at Beijing Intelligent Entropy Science & Technology Co. Ltd., Department of R & D. He earned his Ph.D. in Engineering Mechanics from Harbin Institute of Technology (2002) and completed postdoctoral research in Computer Science at the University of Science and Technology of China (2004), subsequently becoming an expert reviewer for China's Ministry of Science and Technology. With over 20 years of AI research experience across speech recognition, fuzzy image restoration, wind power prediction, digital twins, FMEA-based fault diagnosis, and advanced intelligent medicine, Dr. Xing has recently focused on medical AI applications including human airway digital reconstruction, CT and MRI fusion, non-invasive CBF (CBV) detection, liver fat fraction (LFF) detection for fatty liver assessment, holographic three-dimensional reconstruction of pulmonary nodules, and sepsis immune status research. His work has achieved significant socioeconomic benefits in industrial applications and earned a considerable reputation in scientific research. Dr. Xing has published over 20 SCI journal articles and completed 88 peer reviews for 14 SCI journals over the past two years. ORCID: 0000-0001-7373-8012.

Xiaohong Mu
Dongzhimen Hospital of Beijing University of Chinese Medicine, Department of Orthopaedics & Traumatology
Dr. Xiao Hong Mu got her PhD & MD from the Beijing University of Chinese Medicine (BUCM) in Orthopaedics & Traumatology and completed post-doctoral research (2011) in clinical medicine combined with Chinese medicine and Western medicine at the BUCM. She is now the doctoral supervisor, postdoctoral cooperative supervisor of BUCM, and the director of Orthopaedics & Traumatology at Dongzhimen Hospital. She presided over 2 projects of the National Natural Science Foundation of China and 3 projects of the Beijing Natural Science Foundation of China. Her work on treating osteoarticular degenerative diseases, spinal cord diseases, and cerebral palsy has obtained a particular influence in the relevant field and published many related SCI papers.

Tengxiao Liang
Dongzhimen Hospital of Beijing University of Chinese Medicine, Emergency Department
Dr. Tengxiao Liang graduated from the Beijing University of Chinese Medicine in 2000 and got a bachelor’s degree in Chinese medicine. He studied at Dongzhimen Hospital, Beijing University of Chinese Medicine from 2003 to 2007, received his master's degree, and got a PhD in 2007 and 2011. He studied after Dr. Liangduo Jiang, a great master of Chinese Medicine. He has engaged in the clinical teaching of integrated Chinese and western medicine in treating acute and critical diseases and the inheritance of experience of Chinese medicine great masters’ for about 20 years. He has presided over several national and provincial research projects and published more than 60 papers. He currently serves as a significant member of the Institute of Sepsis, Beijing University of Chinese Medicine, AHA Heartsaver Instructor, the Professor of Treatment of the Emergency Department at the Dongzhimen Hospital, meanwhile a Doctoral supervisor at Beijing University of Chinese medicine. His main research directions include the treatment of critical illness, acute infectious diseases, chronic and recurrent infectious diseases, and respiratory and digestive system diseases.

Wei Hou
Liver Disease Center at Beijing You An Hospital, affiliated with Capital Medical University
Dr. Wei Hou serves as the chief physician in the first department of the Liver Disease Center at Beijing You An Hospital, affiliated with Capital Medical University. She is a youth committee member of the following academic committees: Chinese Medical Association Infectious Diseases Branch; Beijing Medical Association Infectious Diseases Branch; Beijing Medical Association Hepatology Branch; Beijing Medical Association Parenteral and Enteral Nutrition Branch. Since 2002, she has been working at Beijing You An Hospital, and her main research areas are rare and complex liver diseases such as complications of cirrhosis and inherited metabolic liver diseases. She has accumulated rich clinical experience, and participated in several national key research and development projects, the 13th Five-Year Plan, and the 14th Five-Year Plan, and led several city-level projects. In recent years, she has published more than 10 SCI papers and dozens of papers in core journals. Her research achievements have won the third prize in the Huaxia Medical Science and Technology Award in 2018.

Zhongjian Tan
Beijing University of Chinese Medicine, Dongzhimen Hospital, Department of Radiology
Zhongjian Tan is the Deputy Chief Technologist in the Department of Radiology at Dongzhimen Hospital, Beijing University of Chinese Medicine. He graduated from Jilin University in Medical Imaging. He is proficient in medical imaging equipment operation, customized image acquisition, principles analysis, and debugging. He has over 20 years of professional experience in medical imaging anatomy and diagnostics. He has participated in many national scientific research projects and published over 50 academic papers on medical imaging technologies. He is skilled at analyzing complex issues and implementing optimized imaging solutions tailored to each clinical case. His research interests include advancing imaging techniques for improved disease detection, quantification, and characterization. Mr. Tan actively collaborates with clinicians to promote the translation of new radiological developments into clinical practice.
The study of medical images reinforced with advanced AI techniques has begun to flourish, bringing in a new development pattern in medical diagnosis, treatment, and prognosis evaluation. A slew of new applications driven by medical image analysis, such as the holographic, three-dimensional reconstruction of pulmonary nodules, 3D-digital airway management, CT and MRI fusion, and non-invasive CBF detection, are assisting doctors and benefiting a large number of patients.
The goal of this Methods Collection is to collect methods and applications that will aid in promoting medical image analysis using advanced AI technologies. The topics covered, but not limited to, are as follows:
1. Evolution of medical imaging, from methodology to applications
2. Integration of medical imaging and 3D printing
3. New non-invasive detection or prognostic evaluation methods based on medical imaging analysis
4. Surgical navigation based on medical image group reconstruction
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2024
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1CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 2Department of Psychology, University of Chinese Academy of Sciences, 3Intensive Care Medicine Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, 4Beijing Intelligent Entropy Science & Technology Co Ltd.
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Cited by 1
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2023
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Cited by 1
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2023
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1Center for Integrated Chinese and Western Medicine, Beijing You An Hospital, Capital Medical University, 2Fever Clinics, Dongzhimen Hospital of Beijing University of Chinese Medicine, 3Beijing Intelligent Entropy Science& Technology Co Ltd., 4First Department of The Liver Disease Center, Beijing You An Hospital, Capital Medical University
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Cited by 2
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2023
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2023
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1Department of Infectious Diseases, Dongzhimen Hospital, Beijing University of Chinese Medicine, 2The First Clinical College, Beijing University of Chinese Medicine, 3Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, 4Fever Clinics, Dongzhimen Hospital, Beijing University of Chinese Medicine, 5Beijing Intelligent Entropy Science & Technology Co Ltd.
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2024
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1Department of Thyroid, Sunsimiao Hospital, Beijing University of Chinese Medicine, 2Department of Thyroid, Dongzhimen Hospital, Beijing University of Chinese Medicine, 3Fever Clinics, Dongzhimen Hospital, Beijing University of Chinese Medicine, 4Beijing Intelligent Entropy Science & Technology Co Ltd.
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Cited by 2
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2025
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2025
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1The First Clinical College, Beijing University of Chinese Medicine, 2Fever Clinics, Dongzhimen Hospital, Beijing University of Chinese Medicine, 3Sunsimiao Hospital, Beijing University of Chinese Medicine, 4Beijing Intelligent Entropy Science & Technology Co Ltd.,, 5Intensive Care Medicine Department, Dongzhimen Hospital, Beijing University of Chinese Medicine
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2025
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1The First Clinical College, Beijing University of Chinese Medicine, 2Beijing Intelligent Entropy Science & Technology Co Ltd., 3Center for Integrated Chinese and Western Medicine, Beijing You An Hospital, Capital Medical University, 4Fever Clinics, Dongzhimen Hospital, Beijing University of Chinese Medicine
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2025
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1Outpatient Department, Dongzhimen Hospital, Beijing University of Chinese Medicine, 2Emergency Department, Sunsimiao Hospital, Beijing University of Chinese Medicine, 3Intensive Care Medicine Department, Sunsimiao Hospital, Beijing University of Chinese Medicine, 4Beijing Intelligent Entropy Science & Technology Co., Ltd., 5Department of Clinical Laboratory, Dongzhimen Hospital, Beijing University of Chinese Medicine
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2026
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Progress in Lung Isolation and One-Lung Ventilation Management in Pediatric Patients
Zixu Zhao1,
Fangliang Xing*2,
Xin Zhao3
1Department Anesthesiology-Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China,
2Beijing Intelligent Entropy Science & Technology Co Ltd., Beijing, China,
3Innovation Center-Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China