Artificial intelligence with kidney disease: A scoping review with bibliometric analysis, PRISMA-ScR.

Sihyung ParkBong Soo ParkYoo Jin LeeIl Hwan KimJin Han ParkJunghae KoYang Wook KimKang Min Park

Published in: Medicine (2021)

After 2010, the interest in AI and its achievements increased enormously. To date, AIs have been investigated using data that are relatively easy to access, for example, radiologic images and laboratory results in the fields of tumor and acute kidney injury. In the near future, a deeper and wider range of information, such as genetic and personalized database, will help enrich nephrology fields with AI technology.

Keyphrases

artificial intelligence
deep learning
big data
machine learning
convolutional neural network
electronic health record
genome wide
optical coherence tomography
healthcare
health information
randomized controlled trial
adverse drug
atomic force microscopy
gene expression
mass spectrometry
social media
data analysis