AI 助力肺癌診斷，科隆大學發佈全自動數字病理平臺
科隆大學醫學部與醫院聯合開發了一款基於人工智能的數字病理平臺，旨在加速並提升肺癌組織切片的自動化分析效率與準確性。該平臺利用人工智能技術分析病理切片，不僅加速診斷過程，還能識別與特定分子相關的變化，爲患者提供個性化治療方案。這項技術革新了傳統的病理檢查方式，通過將切片數字化，病理學家能夠在電腦屏幕上進行分析，提高效率併爲人工智能的深度應用奠定基礎。研究顯示，人工智能可以從病理切片中提取更多癌症相關的信息，改善診斷質量，提供患者病情的新信息，如對治療的反應情況。研究團隊計劃與德國、奧地利和日本的五個病理研究機構合作，進行進一步驗證，旨在推動人工智能在臨牀病理學中的廣泛應用。這一成果發表在《細胞報告醫學》期刊上，標誌着數字病理學與人工智能結合的重要進展，未來將顯著提高肺癌診斷的精確性，深化對疾病的認識。
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
