Department of Nephrology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, China.
Department of Nephrology, Second Affiliated Hospital of Soochow University, 1055 Sanxiang Road, Suzhou, Jiangsu 215000, China.
Int J Med Sci. 2020 Apr 6;17(7):970-984. doi: 10.7150/ijms.42078. eCollection 2020.
Artificial 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.
人工智能(AI)作为一项先进的科学技术,已广泛应用于医学领域,以促进医学的发展,主要应用于早期检测、疾病诊断和管理。由于患者数量庞大,肾病仍然是一个全球性的健康问题。其诊断和治疗仍然存在挑战。AI 可以考虑个体情况,做出合适的决策,并有望在肾病管理方面取得重大进展。在这里,我们回顾了 AI 在肾病预警系统、辅助诊断、指导治疗和评估预后方面的应用研究。尽管与 AI 在肾病中的应用相关的研究数量较少,但 AI 在肾病管理中的潜力已被临床医生所认可;未来 AI 将极大地增强临床医生在临床实践中的能力。