ARTIFICIAL INTELLIGENCE DEMONSTRATES POTENTIAL IN DETECTING CARIES ON BITEWING RADIOGRAPHS, BUT FURTHER HIGH-QUALITY STUDIES ARE REQUIRED

IF 4.1 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

引用次数: 0

Abstract

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 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.