Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases.With the development of data preservation and processing,as well as the advancement of machine learning algorithms,ma...Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases.With the development of data preservation and processing,as well as the advancement of machine learning algorithms,machine learning is expected to make remarkable breakthroughs in nephrology.Machine learning models have yielded many preliminaries to moderate and several excellent achievements in the fields,including analysis of renal pathological images,diagnosis and prognosis of chronic kidney diseases and acute kidney injury,as well as management of dialysis treatments.However,it is just scratching the surface of the field;at the same time,machine learning andits applications in renal diseases are facing a number of challenges.In this review,we discuss the application status,challenges and future prospects of machine learning in nephrology to help people further understand and improve the capacity for prediction,detection,and care quality in kidney diseases.展开更多
基金This work was supported by grants from the National Natural Science Foundation of China(Nos.61971441,61671479,and 81804056)the National Key R&D Program of China(No.2016YFC1305500).
文摘Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases.With the development of data preservation and processing,as well as the advancement of machine learning algorithms,machine learning is expected to make remarkable breakthroughs in nephrology.Machine learning models have yielded many preliminaries to moderate and several excellent achievements in the fields,including analysis of renal pathological images,diagnosis and prognosis of chronic kidney diseases and acute kidney injury,as well as management of dialysis treatments.However,it is just scratching the surface of the field;at the same time,machine learning andits applications in renal diseases are facing a number of challenges.In this review,we discuss the application status,challenges and future prospects of machine learning in nephrology to help people further understand and improve the capacity for prediction,detection,and care quality in kidney diseases.
