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数智病理平台构建及服务模式研究

陈晓红 刘浏 牛雅娟 刘晓亮 李啸海 周建华 王俊普

中国工程科学2025,Vol.27Issue(2):304-314,11.
中国工程科学2025,Vol.27Issue(2):304-314,11.DOI:10.15302/J-SSCAE-2024.11.024

数智病理平台构建及服务模式研究

Digital Intelligence Pathology Platform and Its Service Pattern

陈晓红 1刘浏 1牛雅娟 2刘晓亮 1李啸海 3周建华 2王俊普2

作者信息

  • 1. 中南大学商学院,长沙 410083||湘江实验室,长沙 410205||湖南工商大学前沿交叉学院,长沙 410205||湖南工商大学管理科学与工程学院,长沙 410205
  • 2. 中南大学湘雅医院,长沙 410008||中南大学基础医学院,长沙 410008
  • 3. 湘江实验室,长沙 410205
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摘要

Abstract

Pathological diagnosis is the cornerstone for clinical diagnosis and treatment decision-making.The digital intelligence pathology platform built by integrating artificial intelligence,big data,and other information technologies has great application values,which will support the digitalization and intelligent upgrading of the pathology discipline and expand the Chinese solution of intelligent pathology.This study systematically clarifies the conceptual framework of digital intelligence pathology,identifies practical application requirements,and highlights critical challenges in its implementation.Building on proprietary research achievements,we propose a tripartite middleware architecture comprising data,algorithm,and service platforms.The system architecture integrates standardized data management,AI-driven analytical modules,and interoperable service interfaces to optimize pathological workflows.Key workflow improvements include standardized specimen processing,intelligent diagnostic assistance,and platform-based service integration.Furthermore,the study explores prospective application scenarios for digital intelligence pathology platforms,spanning diagnostic services,multidisciplinary consultations,medical education,scientific research,and quality control.Strategic recommendations are provided to accelerate adoption:establishing policy-guided industry standards,diversifying funding channels,strengthening professional training,advancing technological innovation,and ensuring data security with privacy protection.These measures aim to expedite the integration of digital intelligence pathology into clinical practice and support the evolution of smart healthcare.

关键词

数智病理/病理诊断/病理大模型/服务模式/病理学/病理科

Key words

digital intelligence pathology/pathological diagnosis/pathological foundation model/service pattern/pathology/pathology department

分类

医药卫生

引用本文复制引用

陈晓红,刘浏,牛雅娟,刘晓亮,李啸海,周建华,王俊普..数智病理平台构建及服务模式研究[J].中国工程科学,2025,27(2):304-314,11.

基金项目

中国工程院咨询项目"全球未来产业发展趋势及湖南未来产业布局研究"(2024-DFZD-39) (2024-DFZD-39)

湘江实验室项目(23XJ01008,23XJ03001) Chinese Academy of Engineering project"Research on Global Future Industrial Development Trend and Hunan Future Industrial Layout"(2024-DFZD-39) (23XJ01008,23XJ03001)

Xiangjiang Laboratory Project(23XJ01008,23XJ03001) (23XJ01008,23XJ03001)

中国工程科学

OA北大核心

1009-1742

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