Artificial intelligence-aided ultrasound in renal diseases: a systematic review.

ABSTRACT:

Background

The development of artificial intelligence (AI) techniques has provided a novel strategy for improving the performance of renal ultrasound. To reflect the development of AI methods in renal ultrasound, we aimed to clarify and analyze the state of AI-aided ultrasound research in renal diseases.

Methods

PRISMA 2020 guidelines have been used to guide all processes and results. AI-aided renal ultrasound studies (for both image segmentation and disease diagnosis) published up to June 2022 were screened through the databases of PubMed and Web of Science. Accuracy/Dice similarity coefficient (DICE), the area under the curve (AUC), sensitivity/specificity, and other indications were applied as evaluation parameters. The PROBAST was used to assess the risk of bias in the s

SUBMITTER: Liang X 

PROVIDER: S-EPMC10240007 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature