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- Qiongjing Yuan, Haixia Zhang, Tianci Deng, Shumei Tang, Xiangning Yuan, Wenbin Tang, Yanyun Xie, Huipeng Ge, Xiufen Wang, Qiaoling Zhou, and Xiangcheng Xiao.
- Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
- Int J Med Sci. 2020 Jan 1; 17 (7): 970-984.
AbstractArtificial intelligence (AI), as an advanced science technology, has been widely used in medical fields to promote medical development, mainly applied to early detections, disease diagnoses, and management. Owing to the huge number of patients, kidney disease remains a global health problem. Challenges remain in its diagnosis and treatment. AI could take individual conditions into account, produce suitable decisions and promise to make great strides in kidney disease management. Here, we review the current studies of AI applications in kidney disease in alerting systems, diagnostic assistance, guiding treatment and evaluating prognosis. Although the number of studies related to AI applications in kidney disease is small, the potential of AI in the management of kidney disease is well recognized by clinicians; AI will greatly enhance clinicians' capacity in their clinical practice in the future.© The author(s).
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