PACS Quantitative Analysis Workbench
Advanced intelligent data integration and analysis capabilities help improve clinical efficiency and treatment results
NMPA class II certificate approved
Wukong Image Acquisition Workbench
Our portable medical device offers radiation-free 3D light analysis of the body, allowing for accurate assessment of spinal morphology
4D Brace service
Intelligent orthotic design with personalized adjustments targeting the progression of spinal deformity and mechanical optimization
NMPA class I certificate approved
AlignPro Expert Studio
Provide users with convenient, efficient, and personalized musculoskeletal traininig and disease management solutions
About Us
CoNova Medical Technology
CoNova Medical Technology is a provider of digital medical health management solutions, founded by researchers and engineers of the Digital Health Laboratory at the University of Hong Kong's Faculty of Medicine. The team consists of clinical surgeons from the same Faculty, as well as AI scientists and engineers from the Department of Computer Science at the University of Cambridge and Silicon Valley.CoNova Medical Technology is committed to evidence-based medicine and digital innovation, enabling high-level intelligent orthopedic diagnosis and treatment services. The company aims to enhance the 'intelligent ability' of medical staff, improve the 'intelligent service' for patients, and optimize the 'intelligent management' for medical institutions, all in an effort to support the department's transition towards building intelligent orthopedics.
Intelligent Management
Intelligent Service
Intelligent Ability
About Us
CoNova Medical Technology
CoNova Medical Technology is a provider of digital medical health management solutions, founded by researchers and engineers of the Digital Health Laboratory at the University of Hong Kong's Faculty of Medicine. The team consists of clinical surgeons from the same Faculty, as well as AI scientists and engineers from the Department of Computer Science at the University of Cambridge and Silicon Valley.CoNova Medical Technology is committed to evidence-based medicine and digital innovation, enabling high-level intelligent orthopedic diagnosis and treatment services. The company aims to enhance the 'intelligent ability' of medical staff, improve the 'intelligent service' for patients, and optimize the 'intelligent management' for medical institutions, all in an effort to support the department's transition towards building intelligent orthopedics.Intelligent Management
Intelligent Service
Intelligent Ability
PACS Quantitative Analysis Workbench
Wukong Image Acquisition Workbench
AlignPro Expert Studio
4D Brace service
PACS Quantitative Analysis WorkbenchWukong Image Acquisition WorkbenchAlignPro Expert Studio4D Brace serviceResearch Projects
Medical Image Registration And Naviagtion
In this project, we aim to investigate and develop novel image registration techniques for medical imaging analysis. We explore different registration methods, including intensity-based, feature-based, and learning-based, and evaluate their performance on various medical imaging modalities, such as CT, MR, optical imagery etc.
Orthopaedic Biomechanics and Implant Design
We have demonstrated that trabecular microarchitecture (TraMicroArcht) can vary the apparent modulus (E), yield strength of trabecular bone accurately. Micro-finite element analysis can quantify the effects of TraMicroArcht on mechanical properties. MicroCT images can be converted directly into digital models via our in-house developed new system and simulate virtual loading effects. Our new system can also have significant application in fast implant design and optimization.
3D Quantitative Analysis & Surgical Planning
We have developed an AI-driven pipeline for the quantitative analysis of the spine. We have established an unsupervised deep learning framework called MRI-SegFlow for the segmentation of multiple spinal tissues in spinal MRI, which achieved comparable performance with the state-of-art supervised methods and without relying on any manually masked ground truth.
Multi-View Mark-Less Surgical Navigation System
Advancements in spinal surgery have been made with the use of screw-based fixation devices. To enhance the precision of interventions such as screw insertion, we would propose a multi-view mark-less surgical navigation system. This system provides real-time tracking of surgical instruments and accurate registration of preoperative CT images. The benefits include improved accuracy, reduced invasiveness, decreased radiation exposure, and potentially more effective procedures.
Research Projects
Medical Image Registration And Naviagtion
In this project, we aim to investigate and develop novel image registration techniques for medical imaging analysis. We explore different registration methods, including intensity-based, feature-based, and learning-based, and evaluate their performance on various medical imaging modalities, such as CT, MR, optical imagery etc.
Orthopaedic Biomechanics and Implant Design
We have demonstrated that trabecular microarchitecture (TraMicroArcht) can vary the apparent modulus (E), yield strength of trabecular bone accurately. Micro-finite element analysis can quantify the effects of TraMicroArcht on mechanical properties. MicroCT images can be converted directly into digital models via our in-house developed new system and simulate virtual loading effects. Our new system can also have significant application in fast implant design and optimization.
3D Quantitative Analysis & Surgical Planning
We have developed an AI-driven pipeline for the quantitative analysis of the spine. We have established an unsupervised deep learning framework called MRI-SegFlow for the segmentation of multiple spinal tissues in spinal MRI, which achieved comparable performance with the state-of-art supervised methods and without relying on any manually masked ground truth.
Multi-View Mark-Less Surgical Navigation System
Advancements in spinal surgery have been made with the use of screw-based fixation devices. To enhance the precision of interventions such as screw insertion, we would propose a multi-view mark-less surgical navigation system. This system provides real-time tracking of surgical instruments and accurate registration of preoperative CT images. The benefits include improved accuracy, reduced invasiveness, decreased radiation exposure, and potentially more effective procedures.
01/02
2024-08-05
科洛华携手朝阳区政府，共创数字医疗新未来
在2024年7月5日至6日举行的全球数字经济大会上，科洛华健康科技（北京）有限公司参与了以“突破 变革 重塑”为主题的CDHC丨2024中国数字医疗大会暨首届朝阳区数字医疗产业发展论坛。
2024-07-29
重庆成立儿童青少年脊柱健康中心
张腾教授受邀参加了在中国举办的“儿童足与脊柱畸形规范化治疗学习班”。在会议中，张教授分享了香港大学与科洛华医疗科技有限公司合作的脊柱畸形筛诊治防一体化智慧解决方案的成功应用经验。
2024-07-26
云南省骨科专科联盟丽江市大会及脊柱侧弯筛查培训纪实
本次会议的亮点之一是香港大学数字健康实验室博士后研究员况熙和博士的特邀发言。况博士详细介绍了《智慧脊柱筛诊治访一体化》的先进理念及其在实际医疗过程中的应用，尤其强调了数字化技术在提高脊柱侧弯筛查准确性和治疗效率中的关键作用。
科洛华携手朝阳区政府，共创数字医疗新未来
在2024年7月5日至6日举行的全球数字经济大会上，科洛华健康科技（北京）有限公司参与了以“突破 变革 重塑”为主题的CDHC丨2024中国数字医疗大会暨首届朝阳区数字医疗产业发展论坛。
重庆成立儿童青少年脊柱健康中心
张腾教授受邀参加了在中国举办的“儿童足与脊柱畸形规范化治疗学习班”。在会议中，张教授分享了香港大学与科洛华医疗科技有限公司合作的脊柱畸形筛诊治防一体化智慧解决方案的成功应用经验。