Yao Jian-Guo
Center of Telepathology, Guangzhou Da'an Clinical Laboratory Center, Guangzhou 510700, China.
Sichuan Da Xue Xue Bao Yi Xue Ban. 2021 Mar;52(2):156-161. doi: 10.12182/20210360101.
In recent years, with the progress of image processing and network transmission technology, digital pathology (DP) is being more and more extensive applied in clinical practice, and new artificial-intelligence-assisted diagnosis technology based on digital imaging is emerging. Being a widely-used mature field, telepathology is changing the temporal and spatial scope of pathological diagnosis through remote electronic transmission of digital images. Fully digitized pathology departments are realizing the transformation of diagnostic modes and workflow from microscopic diagnosis to digital image computer review, and there have already been successful examples of large-scale fully digitized pathology departments. However, there are still many problems in the implementation of DP, for example, the quality stability and cost of the scanner, the validation of the system, the reengineering of the workflow, the training of pathologists and the change of their perception of DP, which all await further improvement. Although artificial intelligence diagnostic technology is showing great potential, its application in pathological work is still limited to the field of auxiliary diagnostics, and there is still a long way to go to the realization of comprehensive intelligent pathology. The rise of DP will bring about a profound change in the way of how pathological work is done and become a solid foundation for intelligent pathology.
近年来，随着图像处理和网络传输技术的进步，数字病理学（DP）在临床实践中的应用越来越广泛，基于数字成像的新型人工智能辅助诊断技术不断涌现。远程病理学作为一个广泛应用的成熟领域，正在通过数字图像的远程电子传输改变病理诊断的时空范围。全数字化病理科正在实现从显微镜诊断到数字图像计算机阅片的诊断模式和工作流程的转变，并且已经有大规模全数字化病理科的成功范例。然而，DP的实施仍存在许多问题，例如扫描仪的质量稳定性和成本、系统的验证、工作流程的重新设计、病理学家的培训以及他们对DP认识的改变等，这些都有待进一步改进。尽管人工智能诊断技术显示出巨大潜力，但其在病理工作中的应用仍局限于辅助诊断领域，实现全面智能病理学仍有很长的路要走。DP的兴起将给病理工作方式带来深刻变革，并成为智能病理学的坚实基础。
