PMS 量化分析工作臺(tái)
高度的信息化智能化數(shù)據(jù)整合與分析能力顯著提升臨床效率和診療效果
已獲批NMPA二類證
Wukong 光學(xué)序列工作臺(tái)
用于身體三維光學(xué)分析和脊柱形態(tài)評(píng)估的便攜且無輻射醫(yī)療設(shè)備
4DOrtho 矯形服務(wù)
針對(duì)脊柱畸形進(jìn)展和力學(xué)優(yōu)化個(gè)性化調(diào)整的智慧矯形器設(shè)計(jì)
已獲批NMPA一類證
AlignPro 專家工作室
針對(duì)脊柱畸形患者的專家級(jí)管理流程，進(jìn)行系統(tǒng)性分析和依從性管理
關(guān)于我們
科洛華醫(yī)療科技有限公司
科洛華醫(yī)療科技有限公司是由香港大學(xué)醫(yī)學(xué)院數(shù)字健康實(shí)驗(yàn)室的科研工作者與智能科技工程師攜手并建的數(shù)字醫(yī)學(xué)健康管理方案提供者。創(chuàng)始團(tuán)隊(duì)成員包括香港大學(xué)醫(yī)學(xué)院的臨床外科專家、劍橋大學(xué)計(jì)算機(jī)系和硅谷的人工智能科學(xué)家以及工程師們。科洛華醫(yī)療科技堅(jiān)持以嚴(yán)肅醫(yī)學(xué)為指導(dǎo)，堅(jiān)持?jǐn)?shù)字化創(chuàng)新，打造高水平智慧骨科診療服務(wù)。逐步深化面向醫(yī)務(wù)人員的“智慧能力”，面向患者的“智慧服務(wù)”、面向醫(yī)療機(jī)構(gòu)的“智慧管理”，從而幫助科室實(shí)現(xiàn)向智慧骨科建設(shè)的躍升。
智慧管理
智慧服務(wù)
智慧能力
關(guān)于我們
科洛華醫(yī)療科技有限公司
科洛華醫(yī)療科技有限公司是由香港大學(xué)醫(yī)學(xué)院數(shù)字健康實(shí)驗(yàn)室的科研工作者與智能科技工程師攜手并建的數(shù)字醫(yī)學(xué)健康管理方案提供者。創(chuàng)始團(tuán)隊(duì)成員包括香港大學(xué)醫(yī)學(xué)院的臨床外科專家、劍橋大學(xué)計(jì)算機(jī)系和硅谷的人工智能科學(xué)家以及工程師們。科洛華醫(yī)療科技堅(jiān)持以嚴(yán)肅醫(yī)學(xué)為指導(dǎo)，堅(jiān)持?jǐn)?shù)字化創(chuàng)新，打造高水平智慧骨科診療服務(wù)。逐步深化面向醫(yī)務(wù)人員的“智慧能力”，面向患者的“智慧服務(wù)”、面向醫(yī)療機(jī)構(gòu)的“智慧管理”，從而幫助科室實(shí)現(xiàn)向智慧骨科建設(shè)的躍升。智慧管理
智慧服務(wù)
智慧能力
PMS 量化分析工作臺(tái)
Wukong 光學(xué)序列工作臺(tái)
AlignPro 專家工作室
4DOrtho 矯形服務(wù)
PMS 量化分析工作臺(tái)
Wukong 光學(xué)序列工作臺(tái)
AlignPro 專家工作室
4DOrtho 矯形服務(wù)科研成果
Medical Image Registration And Navigation
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.
科研成果
Medical Image Registration And Navigation
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.