Diagnostic performance of dental artificial intelligence (AI) platform for caries detection and its potential role in dental education

IF 1.9 3区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE Oral Surgery Oral Medicine Oral Pathology Oral Radiology Pub Date : 2025-03-01 Epub Date: 2025-02-04 DOI:10.1016/j.oooo.2024.11.060
Dr. Somyung Ji , Dr. Kumar Shah , Dr. Vinodh Bhoopathi , Dr. Sanjay Mallya
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Abstract

Teaching and evaluating caries detection skills in dental education can be a time-consuming process that requires careful case selection and faculty calibration. We have developed an online caries detection competency assessment that evaluates students' ability to detect caries. The assessment involves scoring radiographs by a panel of 5 UCLA faculty members, with the consensus score considered the correct answer. This study examined the use of the Second Opinion® dental artificial intelligence (AI) platform for caries diagnosis and its potential to enhance student detection skills without faculty intervention.
The caries detection examination included 47 tooth surfaces, encompassing both proximal and occlusal surfaces. Radiographs were assessed using the AI platform to determine its diagnostic accuracy compared to the faculty consensus score. Student performance on the competency exam was also measured and compared with the AI platform.
The AI platform exhibited successful caries detection for interproximal surfaces, although it showed limitations in detecting occlusal caries. Of the 19 carious lesions, the platform correctly identified 17, with 1 false positive and 2 false negatives. The platform accurately identified the absence of caries in 27 out of 28 non-carious lesions, resulting in a sensitivity of 89% and a specificity of 96%. Overall, the AI platform correctly scored 44 of the 47 surfaces. In contrast, only 24 of the 47 surfaces were correctly scored by 100% of the students (P < .001). The AI platform provided accurate diagnoses for 21 of the 23 surfaces that some students scored incorrectly. Interestingly, the 3 surfaces incorrectly scored by the AI platform were correctly identified by more than 90% of the students.
The Second Opinion® dental AI platform holds promise as an effective educational tool, particularly for diagnosing interproximal caries. The platform has the potential to guide accurate diagnoses and improve student performance in caries detection.
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牙科人工智能(AI)平台在龋病检测中的诊断性能及其在牙科教育中的潜在作用
在牙科教育中,教学和评估龋齿检测技能可能是一个耗时的过程,需要仔细的病例选择和教师校准。我们开发了一个在线龋检测能力评估,评估学生检测龋的能力。评估包括由5名加州大学洛杉矶分校教师组成的小组对x光片进行评分,并以一致得分为正确答案。本研究考察了Second Opinion®牙科人工智能(AI)平台在龋齿诊断中的应用,以及它在无需教师干预的情况下提高学生检测技能的潜力。龋齿检测检查包括47个牙面,包括近端和咬合面。使用人工智能平台对x线片进行评估,以确定其与教师共识评分相比的诊断准确性。学生在能力考试中的表现也被衡量,并与人工智能平台进行比较。人工智能平台对近端间表面的龋齿进行了成功的检测,尽管它在检测咬合龋齿方面存在局限性。在19个龋齿病变中,平台正确识别了17个,其中1个假阳性,2个假阴性。该平台准确地识别出28个非龋齿病变中的27个没有龋齿,灵敏度为89%,特异性为96%。总体而言,人工智能平台对47个表面中的44个进行了正确评分。相比之下,47个表面中只有24个被100%的学生正确打分(P <;措施)。人工智能平台对一些学生评分不正确的23个表面中的21个提供了准确的诊断。有趣的是,被人工智能平台错误评分的3个表面被90%以上的学生正确识别。Second Opinion®牙科人工智能平台有望成为一种有效的教育工具,特别是用于诊断近端间龋病。该平台有可能指导准确诊断并提高学生在龋齿检测方面的表现。
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来源期刊
Oral Surgery Oral Medicine Oral Pathology Oral Radiology
Oral Surgery Oral Medicine Oral Pathology Oral Radiology DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
3.80
自引率
6.90%
发文量
1217
审稿时长
2-4 weeks
期刊介绍: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology is required reading for anyone in the fields of oral surgery, oral medicine, oral pathology, oral radiology or advanced general practice dentistry. It is the only major dental journal that provides a practical and complete overview of the medical and surgical techniques of dental practice in four areas. Topics covered include such current issues as dental implants, treatment of HIV-infected patients, and evaluation and treatment of TMJ disorders. The official publication for nine societies, the Journal is recommended for initial purchase in the Brandon Hill study, Selected List of Books and Journals for the Small Medical Library.
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