TM

AlignPro

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 general users)

Automatic spine alignments analysis & handy patient management

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

Publication

[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

Gold Medal at the Special Edition 2022 Inventions Geneva Evaluation Days

Our open AI platform and non-radiation device invention, entitled "An Intelligent Orthopaedics Platform: AlignPro System and Device for Radiation-Free Spine Alignments" won the Gold Medal at the Special Edition 2022 Inventions Geneva Evaluation Days.

HK innovation and technology committee congratulate CoNova’s great work and commitment in the quest for innovation and technology excellence

On April 6, 2022, the Secretary for innovation and technology of Hong Kong sent a congratulatory letter after the CoNova won the Gold Medal at the Special Edition 2022 Inventions Geneva Evaluation Days