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PUBLICATION

At AIMed, we strive to publish top-tier content in clinical and engineering journals, along with leading conferences in medical vision and medical image analysis. Our goal is to advance technology and medicine by disseminating cutting-edge research and fostering robust discussions across dynamic fields. We aim to connect with a global community to drive innovation and improve healthcare and engineering outcomes.

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2022

Delineation of dual molecular diagnosis in patients with skeletal deformity

BME

Lian Liu, Liying Sun, Yujun Chen, Muchuan Wang, Chenxi Yu, Yingzhao Huang, Sen Zhao, Huakang Du, Shaoke Chen, Xin Fan , Wen Tian, Zhihong Wu, Guixing Qiu, Terry Jianguo Zhang, Nan Wu*

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2022

Spine-GFlow: A hybrid learning framework for robust multi-tissue segmentation in lumbar MRI without manual annotation

BME

Xihe Kuang, Jason Pui Yin Cheung, Kwan-Yee K. Wong, Wai Yi Lam, Chak Hei Lam, Richard W. Choy, Christopher P. Cheng, Honghan Wu, Cao Yang, Kun Wang, Yang Li*, Teng Zhang*

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2022

An artificial intelligence powered platform for auto-analyses of spine alignment irrespective of image quality with prospective validation

BME

Nan Meng, Jason P.Y. Cheung*, Kwan-Yee K. Wong, Socrates Dokos, Sofia Li, Richard W. Choy, Samuel To, Ricardo J. Li, Teng Zhang*

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2022

O-GlcNAc transferase regulates intervertebral disc degeneration by targeting FAM134B-mediated ER-phagy

BME

Rongjin Luo, Gaocai Li, Weifei Zhang, Huaizhen Liang, Saideng Lu, Jason Pui Yin Cheung, Teng Zhang, Ji Tu, Hui Liu, Zhiwei Liao, Wencan Ke, Bingjin Wang, Yu Song*, Cao Yang*

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2022

Small Preoperative Dural Sac Cross-Sectional Area and Anteriorly Placed Fusion Cages Are Risk Factors for Indirect Decompression Failure after Oblique Lateral Interbody Fusion

BME

Hao Wu, Zhi Shan, Teng Zhang, Junhui Liu, Shunwu Fan, Fengdong Zhao, Jason Pui Yin Cheung*

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AIMED

We dedicate ourselves to non-invasive and intelligent solutions for spine care with advanced equipment and deep learning techniques. We are open and welcoming partners, researchers, engineers, etc worldwide.

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Level 5, Professorial Block, Queen Mary Hospital, Pok Fu Lam, Hong Kong SAR, China

Call Number

+852 3917 6987
+852 6067 1846

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