人工智能在膀胱癌精准病理诊断中的研究进展
作者: |
1唐颖,
1白淘,
2王效春,
2杨国强
1 山西医科大学第一医院病理科,太原 030001 2 山西医科大学第一医院影像科,太原 030001 |
通讯: |
白淘
Email: 13703515398@163.com |
DOI: | 10.3978/j.issn.2095-6959.2022.08.037 |
基金: | 国家自然科学基金(81971592);山西省卫生健康委员会科研项目(2017035);山西省科技厅重点研发项目(201903D321189);山西省基础应用研究项目(201801D121331)。 |
摘要
Research progress of artificial intelligence in precise pathological diagnosis of bladder cancer
CorrespondingAuthor: BAI Tao Email: 13703515398@163.com
DOI: 10.3978/j.issn.2095-6959.2022.08.037
Foundation: This work was supported by the National Natural Science Foundation (81971592), Scientific Research Program of Shanxi Provincial Health Commission (2017035), Key Research and Development Project of the Science and Technology Department of Shanxi Province (201903D321189), and Shanxi Provincial Basic Applied Research Project (201801D121331), China.
Abstract
In the era of computer technology developing rapidly, the combination of artificial intelligence (AI) and digital pathological images is increasingly affecting most areas of pathology and is contributing to the transformation of pathological diagnosis into digitalization. Bladder cancer (BCa) is one of the most common malignant tumors in urinary system, and the pathological diagnosis is the “golden-standard” for the diagnosis of bladder cancer. In recent years, the breakthrough research progress based on AI technology in the field of bladder cancer pathology becomes a catalyst for realizing accurate diagnosis and treatment of bladder cancer. To a certain extent, AI technology improves the objectivity, accuracy, and automation of diagnosis, and it is expected to become a powerful auxiliary diagnosis tool for pathologists and to guide clinicians to develop individualized treatment plans. Ultimately AI technology will improve the survival benefits of patients with bladder cancer.