In recent years, artificial intelligence has become widely applied in a variety of medical fields, including renal pathology. Computer scientists and pathologists are collaborating to apply the latest artificial intelligence techniques to the analysis of pathological slides for diagnosis, prediction of prognosis, treatment, as well as other clinically related purposes. However, the application of artificial intelligence in renal pathology is not perfect, and there are still issues that need to be resolved. Therefore, researchers from the Children’s Hospital of Zhejiang University School of Medicine made an effort to evaluate the current status of artificial intelligence in renal pathology.
Artificial intelligence-based renal pathology will enable automatic quantification of features, pathological classification, and prognosis assessment. This includes the structure and lesion recognition of glomeruli, tubules, interstitium, arteries, as well as the prediction of renal pathological classification and prognosis. Researchers closely monitored the development of artificial intelligence in renal pathology and attempted to highlight the importance of artificial intelligence in renal pathology images, predictive models, and 3D in renal pathology.
They came to the conclusion that it is essential to establish an ideal renal pathology diagnosis system based on artificial intelligence. To generate an exact prediction and conform to precise medical movement, cutting-edge artificial intelligence technology is employed to combine all relevant multimodal imaging data, clinical information and molecular markers. Furthermore, artificial intelligence can not only enhance the work of renal pathologists, but also reduce their workload, improve their diagnostic accuracy and provide additional information.
基于人工智能的肾脏病理学将实现特征的自动量化、病理分类和预后评估。这包括肾小球、小管、间质、动脉的结构和病变识别，以及肾脏病理分类和预后的预测。研究人员密切关注人工智能在肾脏病理学领域的发展，并试图强调人工智能在肾脏病理学图像、预测模型和 3D 中的重要性。
Reference: Feng C, Liu F. Artificial intelligence in renal pathology: Current status and future. Bosn J of Basic Med Sci [Internet]. 2022Nov.14 [cited 2022Nov.20];. Available from: https://www.bjbms.org/ojs/index.php/bjbms/article/view/8318
Editor: Merima Bukva, MPharm