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            從實驗室到臨床的轉譯之路
            TRANSLATION FROM LAB TO CLINIC




            產學合作是科研落地的重要支點，                 Academia-industry collaboration is a critical pillar for turning
            團 隊 與 GE Healthcare 達 成 戰 略 合   research into real-world solutions. The laboratory has forged   創造多層次的學
            作，共同研發“澳理大通用 AI 超聲              strategic partnerships with GE Healthcare to co-develop the   術與產業接軌平
            算法”，有望顯著提升超聲診斷的                 MPU General AI Ultrasound Algorithm, aimed at significantly   台
            準確性和效率；與荷蘭 ScreenPoint          improving the accuracy and efficiency of ultrasound
            Medical 合作專注於乳腺鉬靶檢測算            diagnostics. In collaboration with ScreenPoint Medical in   Create
            法的開發，致力推動早期癌症篩查                 the Netherlands, the lab is advancing breast mammography   multi-layered
            的精準與普及化。這些聯合研發項                 detection algorithm to promote precision and accessibility in   platforms to
            目為業界帶來解決方案，也為學生                 early cancer screening. These joint initiatives not only deliver   bridge academia
            與研究人員創造多層次的學術與產                 practical solutions for the healthcare industry but also create
            業接軌平台。                          multi-layered platforms for students and researchers to bridge   and industry
                                            academia and industry.
            實驗室協調全球跨國公司、高校和
            研究機構，共同制定 IEEE P3350 醫          The lab coordinates global efforts among multinational
            學影像人工智能國際標準，體現實                 corporations, universities, and research institutions to establish
            驗室在國際標準化建設方面發揮重                 the IEEE P3350 International Standard for AI in Medical
            要作用。智能醫學計算實驗室主任                 Imaging, underscoring its pivotal role in global standardisation.
            檀韜副教授表示：“實驗室以科研                 Associate Professor Tan Tao, Director of the Intelligent
            創新、產業落地及教學精品為核心                 Medical Computing Laboratory, emphasises, “Our core
            戰略，目前與醫療企業合作，推進                 strategy centres on research innovation, industrial application,
            AI 在腫瘤治療中的應用，科技成果               and excellence in education. We are working with medical
            的產業落地，以及與創新醫療器械                 enterprises to advance AI applications in oncology treatment,
            公司達成合作，為超聲算法的研發                 accelerate technology transfer, and collaborate with innovative
            提供硬件支持。”                        medical device companies to provide hardware support for
                                            ultrasound algorithm development.”











































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