Bahadir Hasibe Sevilay, Keskin Neslihan Büşra, Çakmak Emine Şebnem Kurşun, Güneç Gürkan, Cesur Aydin Kader, Peker Fatih
Faculty of Dentistry, Department of Restorative Dentistry, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
Faculty of Dentistry, Department of Endodontics, Ankara Yıldırım Beyazıt University, Ankara, Turkey.
Oral Radiol. 2025 Jan;41(1):52-59. doi: 10.1007/s11282-024-00775-1. Epub 2024 Oct 9.
This study intended to evaluate patients' attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists.
A total of 272 completed questionnaires were included in this study. In the first part of the study, approval was obtained from the patients, and data were collected about their socio-demographic characteristics. In the second part the 11-item Dentist Trust Scale was applied. In the third and fourth parts, there were questions about two clinical scenarios, the patients' knowledge of attitudes toward AI, and how the AI-based diagnosis had affected their trust. Evaluation was performed using a Likert-type scale. Data were analyzed with the Chi-square, one-way ANOVA, and ordinal logistic regression tests (p < 0.05).
The patients believed that "AI is useful" (3.86 ± 1.03) and were not afraid of the use of AI in dentistry (2.40 ± 1.05). Educational level was considerably related to the patients' attitudes to the use of AI for dental diagnostics (p < 0.05). The patients stated that "dentists are extremely thorough and careful" (4.39 ± 0.77).
The patients displayed a positive attitude to AI-based diagnosis in the dental field and appear to exhibit trust in dentists. The use of Al in routine clinical practice can provide important benefit to physicians as a clinical decision support system in dentistry and understanding patients' attitudes may allow dentists to shape AI-supported dentistry in the future.
本研究旨在评估患者对人工智能在牙合面龋病牙科放射学检测中的应用态度，以及基于人工智能的诊断对他们对牙医信任度的影响。
本研究共纳入272份完整问卷。在研究的第一部分，获得患者的同意，并收集他们的社会人口统计学特征数据。在第二部分，应用11项牙医信任量表。在第三和第四部分，有关于两种临床场景、患者对人工智能的认知态度以及基于人工智能的诊断如何影响他们信任度的问题。使用李克特量表进行评估。采用卡方检验、单因素方差分析和有序逻辑回归检验进行数据分析（p<0.05）。
患者认为“人工智能是有用的”（3.86±1.03），并且不担心在牙科中使用人工智能（2.40±1.05）。教育水平与患者对在牙科诊断中使用人工智能的态度密切相关（p<0.05）。患者表示“牙医极其彻底和仔细”（4.39±0.77）。
患者对牙科领域基于人工智能的诊断表现出积极态度，并且似乎对牙医表现出信任。在常规临床实践中使用人工智能作为牙科临床决策支持系统可以为医生提供重要益处，了解患者的态度可能使牙医在未来塑造人工智能支持的牙科。
