Abstract:
Intelligent traditional Chinese medicine (ITCM) is an emerging interdisciplinary subject. It aims to efficiently and precisely promote the prevention and treatment of dis...Show MoreMetadata
Abstract:
Intelligent traditional Chinese medicine (ITCM) is an emerging interdisciplinary subject. It aims to efficiently and precisely promote the prevention and treatment of diseases and health management in Chinese medicine clinical practice via the combination of traditional Chinese medicine (TCM) fundamentals and artificial intelligence technologies. Presently, it is experiencing dramatic growth in recent years. On the one hand, a holistic view, as a crucial philosophy in the theory of TCM, will be guiding the development of ITCM. On the other hand, a comprehensive discussion of the benefits of such a holistic view of ITCM is lacking. To this end, we conduct this survey by introducing the named holistic view first. Then, adaptive learning and field theory will be presented and discussed with respect to their application in ITCM. Ethical issues of ITCM will then be taken into account by human-centered TCM and potentials based on affective computing of ITCM. In addition, we give our opinions and insights on the challenges and open issues regarding the future of ITCM. We hope that this survey article can be a good guide for experts in the relevant fields.
Published in: IEEE Transactions on Computational Social Systems ( Volume: 10, Issue: 2, April 2023)
Funding Agency:
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Guihua Tian received the Ph.D. degree from the Beijing University of Chinese Medicine, Beijing, China, in 2012.
She was a Post-Doctoral Fellow of evidence-based medicine with the West China Hospital, Sichuan University, Chengdu, China. She is currently a Chief Physician, a Researcher, and a Doctoral Supervisor with the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her work has been funded by three Key Projec...Show More
Guihua Tian received the Ph.D. degree from the Beijing University of Chinese Medicine, Beijing, China, in 2012.
She was a Post-Doctoral Fellow of evidence-based medicine with the West China Hospital, Sichuan University, Chengdu, China. She is currently a Chief Physician, a Researcher, and a Doctoral Supervisor with the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her work has been funded by three Key Projec...View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Kun Qian (Senior Member, IEEE) received the Ph.D. degree in electrical engineering and information technology for his study on automatic general audio signal classification from the Technische Universität München (TUM), Munich, Germany, in 2018.
In 2021, he was appointed to be a (Full) Professor at the Beijing Institute of Technology, Beijing, China. He has a strong collaboration connection with prestigious universities in...Show More
Kun Qian (Senior Member, IEEE) received the Ph.D. degree in electrical engineering and information technology for his study on automatic general audio signal classification from the Technische Universität München (TUM), Munich, Germany, in 2018.
In 2021, he was appointed to be a (Full) Professor at the Beijing Institute of Technology, Beijing, China. He has a strong collaboration connection with prestigious universities in...View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Xinyi Li is currently pursuing the Ph.D. degree with the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, China.
She completed the standardized residency training at the Dongzhimen Hospital. She has participated in one National Key Research and Development (R&D) Program of China and one project of the National Natural Science Foundation of China. She has (co)authored 15 publications in peer...Show More
Xinyi Li is currently pursuing the Ph.D. degree with the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, China.
She completed the standardized residency training at the Dongzhimen Hospital. She has participated in one National Key Research and Development (R&D) Program of China and one project of the National Natural Science Foundation of China. She has (co)authored 15 publications in peer...View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Mengkai Sun received the M.S. degree in data science from the Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, QLD, Australia, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition and metalearning.
Mengkai Sun received the M.S. degree in data science from the Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, QLD, Australia, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition and metalearning.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Hao Jiang is currently pursuing the bachelor’s degree with the Beijing University of Chinese Medicine, Beijing, China.
He is majoring in traditional Chinese medicine at the Beijing University of Chinese Medicine. His research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of diseases.
Hao Jiang is currently pursuing the bachelor’s degree with the Beijing University of Chinese Medicine, Beijing, China.
He is majoring in traditional Chinese medicine at the Beijing University of Chinese Medicine. His research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of diseases.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Wanyong Qiu received the M.S. degree from the School of Computer Science and Engineering, Northwest Normal University, Lanzhou, China, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, federated learning, and healthcare information security.
Wanyong Qiu received the M.S. degree from the School of Computer Science and Engineering, Northwest Normal University, Lanzhou, China, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, federated learning, and healthcare information security.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Xiaoming Xie received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where he is currently pursuing the master’s degree in acupuncture, moxibustion, and tuina of traditional Chinese medicine.
He is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. His research interest is the application and promotion of inte...Show More
Xiaoming Xie received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where he is currently pursuing the master’s degree in acupuncture, moxibustion, and tuina of traditional Chinese medicine.
He is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. His research interest is the application and promotion of inte...View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Zhonghao Zhao received the B.S. degree from Nanjing Agricultural University, Nanjing, China, in 2022. He is currently pursuing the M.S. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, sound field modeling, and body sound perception.
Zhonghao Zhao received the B.S. degree from Nanjing Agricultural University, Nanjing, China, in 2022. He is currently pursuing the M.S. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, sound field modeling, and body sound perception.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Liangqing Huang received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where she is currently pursuing the master’s degree in acupuncture, moxibustion, and Tuina of traditional Chinese medicine.
She is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation...Show More
Liangqing Huang received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where she is currently pursuing the master’s degree in acupuncture, moxibustion, and Tuina of traditional Chinese medicine.
She is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation...View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Siyan Luo received the master’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022.
She completed the standardized residency training at the Guang’anmen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of artificial intelligence (AI) in the prevention and treatment of chronic disease.
Ms. Luo received an Academic Scholarship from...Show More
Siyan Luo received the master’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022.
She completed the standardized residency training at the Guang’anmen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of artificial intelligence (AI) in the prevention and treatment of chronic disease.
Ms. Luo received an Academic Scholarship from...View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Tianxing Guo graduated from the Beijing University of Traditional Chinese Medicine, Beijing, China, in 2022.
He currently works at the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine. He has been engaged in clinical research for many years and is well-experienced in using traditional Chinese medicine (TCM) to treat chronic pain. In terms of scientific research, he is committed to the research and de...Show More
Tianxing Guo graduated from the Beijing University of Traditional Chinese Medicine, Beijing, China, in 2022.
He currently works at the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine. He has been engaged in clinical research for many years and is well-experienced in using traditional Chinese medicine (TCM) to treat chronic pain. In terms of scientific research, he is committed to the research and de...View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Ran Cai received the Ph.D. degree from Southeast University, Nanjing, China, in 2019.
She is currently a Post-Doctoral Fellow of in situ technology with the Beijing Institute of Technology, Beijing, China. Her current research expertise focuses on flexible/stretchable electronics and printed electronics.
Ran Cai received the Ph.D. degree from Southeast University, Nanjing, China, in 2019.
She is currently a Post-Doctoral Fellow of in situ technology with the Beijing Institute of Technology, Beijing, China. Her current research expertise focuses on flexible/stretchable electronics and printed electronics.View more
Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan
Zhihua Wang received the bachelor’s degree from the China University of Mining and Technology (CUMT), Beijing, China, in 2018.
He has been taking successively a Master-Doctor Program of Study for the Doctoral Degree at the School of Mechatronic Engineering, CUMT, since 2018. He was also funded by the China Scholarship Council (CSC) in 2021 as a Special Research Student at the Educational Physiology Laboratory, Graduate Sch...Show More
Zhihua Wang received the bachelor’s degree from the China University of Mining and Technology (CUMT), Beijing, China, in 2018.
He has been taking successively a Master-Doctor Program of Study for the Doctoral Degree at the School of Mechatronic Engineering, CUMT, since 2018. He was also funded by the China Scholarship Council (CSC) in 2021 as a Special Research Student at the Educational Physiology Laboratory, Graduate Sch...View more
Group on Language, Audio, & Music (GLAM), Imperial College London, London, U.K.
Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany
Björn W. Schuller (Fellow, IEEE) received the Diploma and Ph.D. degrees and the Habilitation degree in the subject area of signal processing and machine intelligence from Technische Universität München (TUM), Munich, Germany, in 1999, 2006, and 2012, respectively, all in electrical engineering and information technology.
He received the Adjunct Teaching Professorship in the subject area of signal processing and machine int...Show More
Björn W. Schuller (Fellow, IEEE) received the Diploma and Ph.D. degrees and the Habilitation degree in the subject area of signal processing and machine intelligence from Technische Universität München (TUM), Munich, Germany, in 1999, 2006, and 2012, respectively, all in electrical engineering and information technology.
He received the Adjunct Teaching Professorship in the subject area of signal processing and machine int...View more
Contents Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Guihua Tian received the Ph.D. degree from the Beijing University of Chinese Medicine, Beijing, China, in 2012.
She was a Post-Doctoral Fellow of evidence-based medicine with the West China Hospital, Sichuan University, Chengdu, China. She is currently a Chief Physician, a Researcher, and a Doctoral Supervisor with the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her work has been funded by three Key Projects of the National Natural Science Foundation of China and one National Key Research and Development (R&D) Program of China. She has (co)authored more than 90 publications in peer-reviewed journals and chief-edited Generality of Intelligent Traditional Chinese Medicine (ISBN: 9787117323505), which is the first monograph on Intelligent Traditional Chinese Medicine in China. Her research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of chronic pain.
Dr. Tian’s awards include the 2020 Chinese National Technology Invention Award and the 2019 International Award for her contribution to Chinese medicine—an achievement award in medical science. She received the National Ten Thousand Talents Program for Top Young Talents, the Talents of Young Qihuang Scholar, and the Beijing Nova Program of Science and Technology.
Guihua Tian received the Ph.D. degree from the Beijing University of Chinese Medicine, Beijing, China, in 2012.
She was a Post-Doctoral Fellow of evidence-based medicine with the West China Hospital, Sichuan University, Chengdu, China. She is currently a Chief Physician, a Researcher, and a Doctoral Supervisor with the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her work has been funded by three Key Projects of the National Natural Science Foundation of China and one National Key Research and Development (R&D) Program of China. She has (co)authored more than 90 publications in peer-reviewed journals and chief-edited Generality of Intelligent Traditional Chinese Medicine (ISBN: 9787117323505), which is the first monograph on Intelligent Traditional Chinese Medicine in China. Her research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of chronic pain.
Dr. Tian’s awards include the 2020 Chinese National Technology Invention Award and the 2019 International Award for her contribution to Chinese medicine—an achievement award in medical science. She received the National Ten Thousand Talents Program for Top Young Talents, the Talents of Young Qihuang Scholar, and the Beijing Nova Program of Science and Technology.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Kun Qian (Senior Member, IEEE) received the Ph.D. degree in electrical engineering and information technology for his study on automatic general audio signal classification from the Technische Universität München (TUM), Munich, Germany, in 2018.
In 2021, he was appointed to be a (Full) Professor at the Beijing Institute of Technology, Beijing, China. He has a strong collaboration connection with prestigious universities in Germany, the U.K., Japan, Singapore, and the USA. He (co)authored more than 100 publications in peer-reviewed journals and conference proceedings having received more than 1.8k citations (H-index: 24).
Dr. Qian serves as an Associate Editor for the IEEE Transactions on Affective Computing, Frontiers in Digital Health, and BIO Integration.
Kun Qian (Senior Member, IEEE) received the Ph.D. degree in electrical engineering and information technology for his study on automatic general audio signal classification from the Technische Universität München (TUM), Munich, Germany, in 2018.
In 2021, he was appointed to be a (Full) Professor at the Beijing Institute of Technology, Beijing, China. He has a strong collaboration connection with prestigious universities in Germany, the U.K., Japan, Singapore, and the USA. He (co)authored more than 100 publications in peer-reviewed journals and conference proceedings having received more than 1.8k citations (H-index: 24).
Dr. Qian serves as an Associate Editor for the IEEE Transactions on Affective Computing, Frontiers in Digital Health, and BIO Integration.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Xinyi Li is currently pursuing the Ph.D. degree with the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, China.
She completed the standardized residency training at the Dongzhimen Hospital. She has participated in one National Key Research and Development (R&D) Program of China and one project of the National Natural Science Foundation of China. She has (co)authored 15 publications in peer-reviewed journals, participated in the compilation of Generality of Intelligent Traditional Chinese Medicine (TCM) as an Editorial Board Member, and authorized three invention patents. Her research interests include clinical efficacy evaluation of TCM and intelligent diagnosis and treatment of TCM.
Xinyi Li is currently pursuing the Ph.D. degree with the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, Beijing, China.
She completed the standardized residency training at the Dongzhimen Hospital. She has participated in one National Key Research and Development (R&D) Program of China and one project of the National Natural Science Foundation of China. She has (co)authored 15 publications in peer-reviewed journals, participated in the compilation of Generality of Intelligent Traditional Chinese Medicine (TCM) as an Editorial Board Member, and authorized three invention patents. Her research interests include clinical efficacy evaluation of TCM and intelligent diagnosis and treatment of TCM.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Mengkai Sun received the M.S. degree in data science from the Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, QLD, Australia, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition and metalearning.
Mengkai Sun received the M.S. degree in data science from the Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, QLD, Australia, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition and metalearning.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Hao Jiang is currently pursuing the bachelor’s degree with the Beijing University of Chinese Medicine, Beijing, China.
He is majoring in traditional Chinese medicine at the Beijing University of Chinese Medicine. His research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of diseases.
Hao Jiang is currently pursuing the bachelor’s degree with the Beijing University of Chinese Medicine, Beijing, China.
He is majoring in traditional Chinese medicine at the Beijing University of Chinese Medicine. His research interests include clinical evidence, evaluation methods, and effective mechanisms of combining acupuncture and medication in the prevention and treatment of diseases.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Wanyong Qiu received the M.S. degree from the School of Computer Science and Engineering, Northwest Normal University, Lanzhou, China, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, federated learning, and healthcare information security.
Wanyong Qiu received the M.S. degree from the School of Computer Science and Engineering, Northwest Normal University, Lanzhou, China, in 2021. He is currently pursuing the Ph.D. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, federated learning, and healthcare information security.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Xiaoming Xie received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where he is currently pursuing the master’s degree in acupuncture, moxibustion, and tuina of traditional Chinese medicine.
He is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. His research interest is the application and promotion of intelligent diagnosis and treatment equipment for traditional Chinese medicine.
Dr. Xie’s awards include the 2021 National Encouragement Scholarship and the 2019 National Encouragement Scholarship.
Xiaoming Xie received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where he is currently pursuing the master’s degree in acupuncture, moxibustion, and tuina of traditional Chinese medicine.
He is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. His research interest is the application and promotion of intelligent diagnosis and treatment equipment for traditional Chinese medicine.
Dr. Xie’s awards include the 2021 National Encouragement Scholarship and the 2019 National Encouragement Scholarship.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Zhonghao Zhao received the B.S. degree from Nanjing Agricultural University, Nanjing, China, in 2022. He is currently pursuing the M.S. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, sound field modeling, and body sound perception.
Zhonghao Zhao received the B.S. degree from Nanjing Agricultural University, Nanjing, China, in 2022. He is currently pursuing the M.S. degree with the School of Medical Technology, Beijing Institute of Technology, Beijing, China.
His research interests include computer audition, sound field modeling, and body sound perception.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Liangqing Huang received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where she is currently pursuing the master’s degree in acupuncture, moxibustion, and Tuina of traditional Chinese medicine.
She is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of combining acupuncture and medication in the prevention and treatment of chronic disease.
Ms. Huang received an Academic Scholarship from the Beijing University of Chinese Medicine in 2022.
Liangqing Huang received the bachelor’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022, where she is currently pursuing the master’s degree in acupuncture, moxibustion, and Tuina of traditional Chinese medicine.
She is participating in standardized residency training at the Dongzhimen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of combining acupuncture and medication in the prevention and treatment of chronic disease.
Ms. Huang received an Academic Scholarship from the Beijing University of Chinese Medicine in 2022.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Siyan Luo received the master’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022.
She completed the standardized residency training at the Guang’anmen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of artificial intelligence (AI) in the prevention and treatment of chronic disease.
Ms. Luo received an Academic Scholarship from the Beijing University of Chinese Medicine in 2017 and 2020.
Siyan Luo received the master’s degree from the Beijing University of Chinese Medicine, Beijing, China, in 2022.
She completed the standardized residency training at the Guang’anmen Hospital, Beijing University of Chinese Medicine. Her research interest is clinical evidence and evaluation methods of artificial intelligence (AI) in the prevention and treatment of chronic disease.
Ms. Luo received an Academic Scholarship from the Beijing University of Chinese Medicine in 2017 and 2020.View more
Key Laboratory of Chinese Internal Medicine of the Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
Tianxing Guo graduated from the Beijing University of Traditional Chinese Medicine, Beijing, China, in 2022.
He currently works at the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine. He has been engaged in clinical research for many years and is well-experienced in using traditional Chinese medicine (TCM) to treat chronic pain. In terms of scientific research, he is committed to the research and development of TCM intelligent diagnosis and treatment equipment, and has been granted an invention patent.
Tianxing Guo graduated from the Beijing University of Traditional Chinese Medicine, Beijing, China, in 2022.
He currently works at the Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine. He has been engaged in clinical research for many years and is well-experienced in using traditional Chinese medicine (TCM) to treat chronic pain. In terms of scientific research, he is committed to the research and development of TCM intelligent diagnosis and treatment equipment, and has been granted an invention patent.View more
Laboratory on Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology, Beijing, China
Ran Cai received the Ph.D. degree from Southeast University, Nanjing, China, in 2019.
She is currently a Post-Doctoral Fellow of in situ technology with the Beijing Institute of Technology, Beijing, China. Her current research expertise focuses on flexible/stretchable electronics and printed electronics.
Ran Cai received the Ph.D. degree from Southeast University, Nanjing, China, in 2019.
She is currently a Post-Doctoral Fellow of in situ technology with the Beijing Institute of Technology, Beijing, China. Her current research expertise focuses on flexible/stretchable electronics and printed electronics.View more
Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan
Zhihua Wang received the bachelor’s degree from the China University of Mining and Technology (CUMT), Beijing, China, in 2018.
He has been taking successively a Master-Doctor Program of Study for the Doctoral Degree at the School of Mechatronic Engineering, CUMT, since 2018. He was also funded by the China Scholarship Council (CSC) in 2021 as a Special Research Student at the Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan. His research interests are computer audition, interpretable artificial intelligence (AI), acoustic signal analysis and processing, pattern recognition, and machine learning.
Zhihua Wang received the bachelor’s degree from the China University of Mining and Technology (CUMT), Beijing, China, in 2018.
He has been taking successively a Master-Doctor Program of Study for the Doctoral Degree at the School of Mechatronic Engineering, CUMT, since 2018. He was also funded by the China Scholarship Council (CSC) in 2021 as a Special Research Student at the Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan. His research interests are computer audition, interpretable artificial intelligence (AI), acoustic signal analysis and processing, pattern recognition, and machine learning.View more
Group on Language, Audio, & Music (GLAM), Imperial College London, London, U.K.
Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany
Björn W. Schuller (Fellow, IEEE) received the Diploma and Ph.D. degrees and the Habilitation degree in the subject area of signal processing and machine intelligence from Technische Universität München (TUM), Munich, Germany, in 1999, 2006, and 2012, respectively, all in electrical engineering and information technology.
He received the Adjunct Teaching Professorship in the subject area of signal processing and machine intelligence from TUM in 2012. He is currently a tenured Full Professor heading the Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany, and a Professor of artificial intelligence heading the Group on Language, Audio, & Music (GLAM), Department of Computing, Imperial College London, London, U.K. He has (co)authored five books and more than 1000 publications in peer-reviewed books, journals, and conference proceedings leading to more than 52k citations (H-index: 102).
Dr. Schuller is the Field Chief Editor of Frontiers in Digital Health, the former Editor-in-Chief of the IEEE Transactions on Affective Computing, the President-emeritus of the AAAC, the Golden Core Awardee of the IEEE Computer Society, a fellow of the ISCA and the BCS, and a Senior Member of the ACM.
Björn W. Schuller (Fellow, IEEE) received the Diploma and Ph.D. degrees and the Habilitation degree in the subject area of signal processing and machine intelligence from Technische Universität München (TUM), Munich, Germany, in 1999, 2006, and 2012, respectively, all in electrical engineering and information technology.
He received the Adjunct Teaching Professorship in the subject area of signal processing and machine intelligence from TUM in 2012. He is currently a tenured Full Professor heading the Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany, and a Professor of artificial intelligence heading the Group on Language, Audio, & Music (GLAM), Department of Computing, Imperial College London, London, U.K. He has (co)authored five books and more than 1000 publications in peer-reviewed books, journals, and conference proceedings leading to more than 52k citations (H-index: 102).
Dr. Schuller is the Field Chief Editor of Frontiers in Digital Health, the former Editor-in-Chief of the IEEE Transactions on Affective Computing, the President-emeritus of the AAAC, the Golden Core Awardee of the IEEE Computer Society, a fellow of the ISCA and the BCS, and a Senior Member of the ACM.View more
