人工智能可能显示出与口腔癌检测专家相当的诊断准确性，但证据仍然有限且不确定

IF 4 4区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Evidence-Based Dental Practice Pub Date : 2025-08-22 DOI:10.1016/j.jebdp.2025.102199

OMER WALEED MAJID (Reviewer)

引用次数: 0

摘要

nieri M, Serni L, Clauser T, Paoletti C, Franchi L.基于深度学习的口腔癌诊断。比较测试精度系统评价。口腔疾病2025年3月31日doi: 10.1111 / odi.15330。打印前Epub。资金来源未报道。研究类型/设计：采用网络荟萃分析的系统评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

AI MAY SHOW COMPARABLE DIAGNOSTIC ACCURACY TO EXPERTS IN ORAL CANCER DETECTION, BUT EVIDENCE REMAINS LIMITED AND OF LOW CERTAINTY

Article Title and Bibliographic Information

Nieri M, Serni L, Clauser T, Paoletti C, Franchi L. Diagnosis of Oral Cancer With Deep Learning. A Comparative Test Accuracy Systematic Review. Oral Dis. 2025 Mar 31. doi:10.1111/odi.15330. Epub ahead of print.

Source of Funding

Not reported.

Type of Study/Design

Systematic review with network meta-analysis.

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来源期刊

Journal of Evidence-Based Dental Practice DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

6.00

自引率

16.70%

发文量

105

审稿时长

28 days

期刊介绍： The Journal of Evidence-Based Dental Practice presents timely original articles, as well as reviews of articles on the results and outcomes of clinical procedures and treatment. The Journal advocates the use or rejection of a procedure based on solid, clinical evidence found in literature. The Journal''s dynamic operating principles are explicitness in process and objectives, publication of the highest-quality reviews and original articles, and an emphasis on objectivity.