Beta testing and clinical evaluation of an artificial intelligence-powered clinical decision support system for endodontic case assessment

对用于根管治疗病例评估的人工智能临床决策支持系统进行Beta测试和临床评估

阅读:1

Abstract

BACKGROUND: Structured clinical digital decision support may help reduce variability in endodontic diagnosis, case difficulty assessment, and referral communication. AIM: To evaluate the agreement between a structured clinical decision support system for endodontic case assessment and independent expert endodontist judgement. MATERIALS AND METHODS: Sixty anonymised simulated endodontic cases were entered into a previously developed clinical decision support system. Thirty cases were entered by an endodontist and thirty by a general dental practitioner. System-generated diagnostic and treatment assessments were independently reviewed by two blinded endodontists using standardised diagnostic terminology. Independent expert judgement served as the reference standard. Proportion agreement with 95% confidence intervals was calculated using the Wilson method. RESULTS: Agreement with the expert reference standard ranged from 83% to 97%. Inter-operator agreement between reviewers was 95%. Discrepancies were primarily associated with incomplete clinical information. CONCLUSION: The system demonstrated close alignment with expert judgement in this exploratory evaluation. Structured digital prescriptions may support consistent diagnostic reasoning while preserving clinician oversight.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。