Ontology highlight
ABSTRACT:
SUBMITTER: Arsiwala-Scheppach LT
PROVIDER: S-EPMC9918184 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Arsiwala-Scheppach Lubaina T LT Chaurasia Akhilanand A Müller Anne A Krois Joachim J Schwendicke Falk F
Journal of clinical medicine 20230125 3
Machine learning (ML) is being increasingly employed in dental research and application. We aimed to systematically compile studies using ML in dentistry and assess their methodological quality, including the risk of bias and reporting standards. We evaluated studies employing ML in dentistry published from 1 January 2015 to 31 May 2021 on MEDLINE, IEEE Xplore, and arXiv. We assessed publication trends and the distribution of ML tasks (classification, object detection, semantic segmentation, ins ...[more]