TM

Wukong

AlignPro is a medical AI platform that supports automatic spine malalignment analysis. It Integrates customers'  spinal images for analysis and carries out personalized visualization results for doctors' reference.

IMPORTANT: the AlignProCARE 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

AlignPro continuously provides web-based support to facilitate doctors with AI-powered auto-alignments analysis through their computers or laptops. The web-based application can help the doctors with fast and consistent coronal and sagittal alignments on radiographs, as well as predicts spine deformity severity and type on single nude back images.

Mobile Application (for doctor)

Automatic spine alignments analysis & handy patient management

AlignProCARE provides accessible auto-alignments for clinicians and their assistants using simply a mobile phone. It provides easily accessible, fast and consistent auto-alignments on radiographs, as well as predicts spine deformity severity and type on single nude back images.

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Mobile Application (for patient)

Automatic spine alignments analysis & handy patient management

AlignProCURE provides patients with a handy tool to get in touch with their spine specialists, with the auto-analysis function facilitating patients receiving prompt and optimised disease advice and management.

Publication

[J] Nan Meng, Jason Pui Yin Cheung, Kenneth YK 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.

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