研精覃思，见微知著——人工智能开启精准病理诊断新时代

郭乔楠; 吕杨帆

doi:10.16016/j.1000-5404.202112055

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研精覃思，见微知著——人工智能开启精准病理诊断新时代

临床医学 | 更新时间：2026-01-09

- 研精覃思，见微知著——人工智能开启精准病理诊断新时代
- Details determine success, a feather shows the way the wind blows: Artificial intelligence opens a new era of precise pathological diagnosis
- 陆军军医大学学报 2022年44卷第1期页码：60-63
- 作者机构：
  
  400037 重庆，陆军军医大学（第三军医大学）第二附属医院病理科
- 作者简介：
  
  [郭乔楠，博士，主任医师，教授，博士研究生导师。担任中国医师协会病理科医师分会常务委员、中国研究型医院协会超微与分子病理学专委会常务委员、重庆市医师协会病理科医师分会会长，入选重庆市学科技术带头人。主持国家自然科学基金面上项目、重庆市自然科学基金重点项目等10余项。为《第三军医大学学报》《局解手术学杂志》常务编委，Oncology Letters编委。在SCI收录期刊发表论文20余篇。主要从事外科病理诊断学及肿瘤分子病理学等方面的研究。E-mail：qiaonan85@263.net GUO Qiaonan, E-mail: qiaonan85@263.net
- 基金信息：
  
  陆军军医大学科技创新能力提升专项项目-前沿探索(2019XQY14)
- DOI：10.16016/j.1000-5404.202112055
  中图分类号： R319;R446.8
- 收稿：2021-12-07，
  
  修回：2021-12-12，
  
  纸质出版：2022-01-15
- 稿件说明：
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郭乔楠, 吕杨帆. 研精覃思，见微知著——人工智能开启精准病理诊断新时代[J]. 陆军军医大学学报, 2022,44(1):60-63.

Qiaonan GUO, Yangfan LYU. Details determine success, a feather shows the way the wind blows: Artificial intelligence opens a new era of precise pathological diagnosis[J]. Journal of Army Medical University, 2022, 44(1): 60-63.
郭乔楠, 吕杨帆. 研精覃思，见微知著——人工智能开启精准病理诊断新时代[J]. 陆军军医大学学报, 2022,44(1):60-63. DOI： 10.16016/j.1000-5404.202112055.

Qiaonan GUO, Yangfan LYU. Details determine success, a feather shows the way the wind blows: Artificial intelligence opens a new era of precise pathological diagnosis[J]. Journal of Army Medical University, 2022, 44(1): 60-63. DOI： 10.16016/j.1000-5404.202112055.

摘要

精准医疗时代，病理学作为基础医学与临床医学的桥梁学科，担负着为疾病个体化治疗提供关键信息的重要任务。精准病理诊断为病理医师的工作带来巨大挑战，人工智能“赋能”病理诊断，通过整合患者临床信息、组织病理学影像、多组学信息，有效辅助精准病理诊断、预测患者预后、分子改变等，有望在精准病理诊断的新时代发挥至关重要的作用，开启精准病理诊断新时代。

Abstract

In the era of precision medicine

pathology

as a bridge between basic and clinical medicine

undertakes the important task of providing key information for the individualized treatment of diseases. Accurate pathological diagnosis of pathology brings huge challenges for pathological doctors. Artificial intelligence facilitates pathological diagnosis

through the integration of the patient's clinical information

histopathological images and multi-omics information

which could effectively assist pathological precision diagnosis

prediction

and molecular changes

etc. Artificial intelligence is expected to play a vital role in precise pathological diagnosis and opens a new era of accurate pathological diagnosis.

关键词

Keywords

references

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