Francis Xiatian Zhang's Outputs (3)

Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis (2024)
Journal Article
Zheng, S., Zhang, F. X., Shum, H. P. H., Zhang, H., Song, N., Song, M., & Jia, H. (in press). Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis. BMC Psychiatry,

Background: Depersonalization-Derealization Disorder (DPD), a prevalent psychiatric disorder, fundamentally disrupts self-consciousness and could significantly impact the quality of life of those affected. While existing research has provided foundat... Read More about Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis.

Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills. (2024)
Journal Article
Constable, M. D., Zhang, F. X., Conner, T., Monk, D., Rajsic, J., Ford, C., Park, L. J., Platt, A., Porteous, D., Grierson, L., & Shum, H. P. H. (online). Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills. Advances in Health Sciences Education, https://doi.org/10.1007/s10459-024-10369-5

Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances –... Read More about Advancing healthcare practice and education via data sharing: demonstrating the utility of open data by training an artificial intelligence model to assess cardiopulmonary resuscitation skills..

Pose-based tremor type and level analysis for Parkinson’s disease from video (2024)
Journal Article
Zhang, H., Ho, E. S. L., Zhang, X., Del Din, S., & Shum, H. P. H. (2024). Pose-based tremor type and level analysis for Parkinson’s disease from video. International Journal of Computer Assisted Radiology and Surgery, 19(5), 831-840. https://doi.org/10.1007/s11548-023-03052-4

Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73 and 84%, and is influenced by the experience of the clinical assessor. Hence, an automatic, effective and interpretable supporting system fo... Read More about Pose-based tremor type and level analysis for Parkinson’s disease from video.