Abstract: Peritoneal dialysis (PD) has been promoted in many countries due to its advantages of treatment at home, lower cost and better protection of residual renal function. However, PD still faces many constraints including lower patient awareness, medical resource shortages, excessive care pressure, and insufficient professionals. Artificial intelligence (AI) offers a broad prospect of optimizing PD. In this paper, we review the research progresses in AI for PD from four aspects: screening high-risk patients, optimizing PD prescription, predicting prognosis, and management of PD.

Key words: Artificial intelligence, Machine learning, Peritoneal dialysis, Clinical application