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人工智能显示了在咬牙x线片上检测龋齿的潜力，但需要进一步的高质量研究

IF 4 4区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Journal of Evidence-Based Dental Practice Pub Date : 2025-01-04 DOI:10.1016/j.jebdp.2025.102087
AHMED YASEEN ALQUTAIBI (REVIEWERS), ANAS SAEED AL-ZAGHRURI
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引用次数: 0

摘要

人工智能辅助咬合x线片龋病检测的诊断性能：系统综述和荟萃分析。阿马尔，N. &；李建军，李建军，李建军，等。中华口腔医学杂志，2016,30(4):344 - 344。资助来源：非营利基金会：Förderprogramm der Forschungsgemeinschaft Dental e.V (FGD)，批准号01/2023给NA。研究类型/设计：采用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。
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ARTIFICIAL INTELLIGENCE DEMONSTRATES POTENTIAL IN DETECTING CARIES ON BITEWING RADIOGRAPHS, BUT FURTHER HIGH-QUALITY STUDIES ARE REQUIRED

Article Title and Bibliographic Information

Diagnostic performance of artificial intelligence-aided caries detection on bitewing radiographs: A systematic review and meta-analysis. Ammar, N. & Kühnisch, J. Japanese Dental Science Review, 60(2024): 128-136.

Source of Funding

Nonprofit foundation: Förderprogramm der Forschungsgemeinschaft Dental e.V. (FGD) with grant number 01/2023 to NA.

Type of Study/Design

Systematic review with meta-analysis.
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来源期刊
Journal of Evidence-Based Dental Practice
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.
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