進入數位化的時代，數字化、標準化、龐大資料存儲和大數據的應用，已成為醫學發展的主流方向和重點項目。大數據的發展將改變傳統的醫療模式，把疾病 的提早預防、提早診斷、及早治療等服務放在首要考慮。隨著人們期待更好的醫療衛生保健服務，打從出生到死亡的個人化醫療服務也已將成為醫管新模式的發展方 向。通過網路把預防、診斷和臨床作業過程納入到 e 化網絡中，實現這些重要任務的核心環節就是醫學影像資訊化，充分展現大數據、多點傳輸與共享給現代醫療帶 來的好處。而大數據（big data）概念的興起是隨著電腦運算技術和統計技術的發展而來的，在商業和社會科學領域展現了一定的應用價值，在公衛領域的應用也初步 得到認可。但由於醫學影像專業的特點，大數據的應用仍處於初步探索階段。本文對大數據在目前醫學影像學領域的應用進行回顧。

Digitalization, standardization, large-volume data storage, and big data applications are increasingly used in medical research. The development of big data use will change the traditional model of medical care and prioritize services such as early prevention, early diagnosis, and early treatment. With the public expectation of better healthcare services, continuing personalized care will become increasingly important in healthcare management models. Informatization of medical imaging requires incorporating processes of prevention, diagnosis, and clinical operations into an e-network via the Internet. This is crucial to achieving core goals that fully demonstrate the benefits available through use of big data, as well as multipoint transmission and sharing in modern healthcare. This article reviews current applications of big data in the medical imaging field.