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[Accelerating the construction of digital and intelligentialized pathology and the prospects].
Yao, X H; He, Z C; Bian, X W.
  • Yao XH; Institute of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
  • He ZC; Institute of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
  • Bian XW; Institute of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China.
Zhonghua Bing Li Xue Za Zhi ; 53(5): 424-429, 2024 May 08.
Article en Zh | MEDLINE | ID: mdl-38678321
ABSTRACT
With the continuous development of informatization, digitalization and artificial intelligence technology, the working mode of the pathology department has gradually changed from the traditional manual check, paper circulation and physical carrier storage to the informatization process and digital storage. The traditional pathology discipline has ushered in unprecedented opportunities and challenges. Digital pathology department also emerge as the times require. Simultaneously, with the full integration of artificial intelligence technology in pathology department, the concept of "department of digital and intelligentialized pathology" was proposed. Based on information and digital technology, the digital intelligent pathology department integrates intelligent management system, optimizes the previous cumbersome management and workflow of the pathology department, develops advanced technologies such as intelligent material extraction, unmanned organization processing, artificial intelligence quality control, artificial intelligence diagnosis, and promotes the intelligent construction of the pathology department.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Patología Clínica / Servicio de Patología en Hospital / Inteligencia Artificial / Salud Digital Límite: Humans País como asunto: Asia Idioma: Zh Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Patología Clínica / Servicio de Patología en Hospital / Inteligencia Artificial / Salud Digital Límite: Humans País como asunto: Asia Idioma: Zh Año: 2024 Tipo del documento: Article