Assessing the decision quality of artificial intelligence and oncologists of different experience in different regions in breast cancer treatment.

ABSTRACT:

Background

AI-based clinical decision support system (CDSS) has important prospects in overcoming the current informational challenges that cancer diseases faced, promoting the homogeneous development of standardized treatment among different geographical regions, and reforming the medical model. However, there are still a lack of relevant indicators to comprehensively assess its decision-making quality and clinical impact, which greatly limits the development of its clinical research and clinical application. This study aims to develop and application an assessment system that can comprehensively assess the decision-making quality and clinical impacts of physicians and CDSS.

Methods

Enrolled adjuvant treatment decision stage early breast cancer cases were randomly assigned

SUBMITTER: Han C 

PROVIDER: S-EPMC10289408 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature