基于人工智能的鼻窦 CT 分析平台与嗅觉评估的多机构验证。

IF 7.2 2区医学 Q1 OTORHINOLARYNGOLOGY

International Forum of Allergy & Rhinology Pub Date : 2024-07-12 DOI:10.1002/alr.23410

Conner J. Massey MD, Stephen M. Humphries PhD, Jess C. Mace MPH, Timothy L. Smith MD, MPH, Zachary M. Soler MD, MSc, Vijay R. Ramakrishnan MD

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引用次数: 0

摘要

要点：与基于视觉的系统（如 Lund-Mackay 评分）相比，基于人工智能的 CT 窦分析可能更具优势。在此，我们展示了使用新型 OMC 分类的人工智能算法的多机构验证。算法输出与临床结果之间存在显著、稳健的相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Multi-institutional validation of an AI-based sinus CT analytic platform with olfactory assessments

查看原文本刊更多论文

Multi-institutional validation of an AI-based sinus CT analytic platform with olfactory assessments

Key points

AI-based CT sinus analysis may have advantages over visual based systems, for example, Lund–Mackay score.
Here, we show multi-institutional validation of an AI algorithm using novel OMC classification.
Significant, robust correlations are seen between algorithm outputs and clinical outcomes.

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来源期刊

International Forum of Allergy & Rhinology OTORHINOLARYNGOLOGY-

CiteScore

11.70

自引率

10.90%

发文量

185

审稿时长

6-12 weeks

期刊介绍： International Forum of Allergy & Rhinologyis a peer-reviewed scientific journal, and the Official Journal of the American Rhinologic Society and the American Academy of Otolaryngic Allergy. International Forum of Allergy Rhinology provides a forum for clinical researchers, basic scientists, clinicians, and others to publish original research and explore controversies in the medical and surgical treatment of patients with otolaryngic allergy, rhinologic, and skull base conditions. The application of current research to the management of otolaryngic allergy, rhinologic, and skull base diseases and the need for further investigation will be highlighted.