Ontology highlight
ABSTRACT: Background
Applications of artificial intelligence (AI) are pervasive in modern biomedical science. In fact, research results suggesting algorithms and AI models for different target diseases and conditions are continuously increasing. While this situation undoubtedly improves the outcome of AI models, health care providers are increasingly unsure which AI model to use due to multiple alternatives for a specific target and the "black box" nature of AI. Moreover, the fact that studies rarely use guidelines in developing and reporting AI models poses additional challenges in trusting and adapting models for practical implementation.Objective
This review protocol describes the planned steps and methods for a review of the synthesized evidence regarding the quality of available
SUBMITTER: Shiferaw KB
PROVIDER: S-EPMC10632920 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature