Room 701, No. 3 Sassoon Rd, Hong Kong
Department of Orthopaedics and Traumatology, HKUMed
mskalign analysis and management system
mskalign is a medical AI platform that supports automatic spine malalignment management, follow-up, analysis and treatment planning. It Integrates customers' spinal images from each clinical visit for analysis and carries out personalized visualization results with treatment templates for doctors' reference.
IMPORTANT: the mskalign applications are for research purposes facilitating large-scale clinical studies and no clinical decision shall be made based on the recommendations from the application. The users of AlignProCARE should be clinicians and researchers specializing in spine alignments. General users should not use the application for self-analysis or self-diagnosis.
PC software
Automatic spine alignments analysis & handy patient management
mskalign PC terminal manages and links with AlignProCARE (for doctors) and AlignPro (for patients) mobile apps continuously providing web-based support to facilitate doctors with AI-powered auto-alignments analysis through their computers or laptops. The web-based application can help doctors with fast and consistent coronal and sagittal alignments on radiographs, as well as predict spine deformity severity and type on single nude back images. The treatment planning function is now available upon reasonable request.
Mobile Application (for doctor)
Automatic spine alignments analysis & handy patient management
AlignProCARE provides accessible auto-alignments and patient tracking for clinicians and their assistants using simply a mobile phone. It provides easily accessible, fast and consistent auto-alignments on whole spine radiographs, as well as predicts spine deformity severity and type on single nude back images.
Mobile Application (for general users)
Automatic spine alignments analysis & handy patient management
AlignPro provides general users with a handy tool to get in touch with their spine specialists. Receiving prompt and optimised disease advice and management planning recommendations is available when the user is linked with a certified specialist via mskalign AlignProCARE.
Publication
[J] Moxin Zhao, Nan Meng, Jason PY Cheung, Chenxi Yu, Pengyu Lu, Teng Zhang, "SpineHRformer: A Transformer-Based Deep Learning Model for Automatic Spine Deformity Assessment with Prospective Validation", Bioengineering, vol.10, November 2023.
[J] Teng Zhang, Chuang Zhu, Yongkang Zhao, Moxin Zhao, Zhihao Wang, Ruoning Song, Nan Meng, Alisha Sial, Ashish Diwan, Jun Liu, Jason PY Cheung, "Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph", JAMA Network Open, vol.6, August 2023.
[J] Nan Meng, Jason P.Y. Cheung, Kwan-Yee K. Wong, Socrates Dokos, Sofia Pik Hung Li, Richard W. Choy, Samuel Ching Hang To, Ricardo J. Li, Teng Zhang, "An Artificial Intelligence Powered Platform for Auto-Analyses of Spine Alignment Irrespective of Image Quality with Prospective Validation", Lancet: eClinicalMedicine, January 2022.
[J] Teng Zhang, Yifei Li, Jason Pui Yin Cheung, Socrates Dokos, Kenneth YK Wong, "Learning-Based Coronal Spine Alignment Prediction Using Smartphone-Acquired Scoliosis Radiograph Images", IEEE Access 9, 38287-38295, February 2021.
[J] Teng Zhang, Chuang Zhu, Qiaoyun Lu, Jun Liu, Ashish Diwan, and Jason Pui Yin Cheung, “A novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians”, European Spine Journal, pp. 1-9, 2020.
Achievements