摘要
人工智能技术的飞跃性发展,特别是深度学习方法以及硬件算力的进步,极大地推动了人工智能在生物医学领域、肾脏病学领域的发展。人工智能可以预测急性肾损伤的发生,识别慢性肾脏病的发生,亦可在肾脏病理的研究中辅助分析、预后预测和辅助决策。人工智能赋能肾脏疾病有赖于肾脏病学和人工智能的协同发展,需要多学科之间密切的跨学科合作。本文将阐述人工智能在肾脏病学的应用与研究进展并展望未来的发展方向。
The rapid development of artificial intelligence(AI)technology,especially the progress in deep learning methods and computing power of hardware,has greatly promoted the application of AI in the field of biomedicine and nephrology.AI can predict the occurrence of acute kidney injury,identify chronic kidney disease,and assist in the analysis of kidney disease pathology,prognosis prediction and decision-making.The application of AI in the field of nephrology depends on the coordinated development of nephrology and artificial intelligence,and requires close interdisciplinary cooperation between multiple disciplines.This article describes the application and research progress of AI in nephrology and provides insights for future directions.
作者
刘章锁
Liu Zhangsuo(the First Affiliated Hospital of Zhengzhou University,Institute of Nephrology of Zhengzhou University,Henan Province Research Center for Kidney Disease,Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province,Zhengzhou 450052,China)
出处
《中华医学杂志》
CAS
CSCD
北大核心
2023年第18期1355-1358,共4页
National Medical Journal of China
基金
国家自然科学基金(U21A20348)
关键词
肾脏病学
人工智能
深度学习
Nephrology
Artificial intelligence
Deep learning
