基于人工智能 (AI) 的口腔健康状况和治疗需求 牙科全景放射 (DPR) 分析:一项跨部门研究
Natalia Turosz1, Kamila Chęcińska2, Maciej Chęciński3
1Department of Maxillofacial Surgery, Hospital of the Ministry of Interior, Wojska Polskiego 51, 25-375 Kielce, Poland.
Journal of clinical medicine
|July 13, 2024
概括
人工智能 (AI) 分析了牙科全景放射 (DPR) 来评估波兰基尔茨的口腔健康. 结果显示,牙腐烂和牙脱落率很高,这表明需要改进公共口腔卫生保健策略.
科学领域:
- 牙科 牙科是指牙科的专业.
- 医疗保健中的人工智能
- 公共卫生 公共卫生
背景情况:
- 人工智能 (AI) 在牙科中越来越多地被用于解释牙科全景放射图 (DPR) 等任务.
- 人工智能有助于对大量患者群体进行快速查,为基于人口的口腔健康评估提供了潜力.
- 之前的应用已经证明了人工智能能够从放射数据中识别各种牙疾病.
研究的目的:
- 利用人工智能,对波兰基尔切居民口腔健康状况和治疗需求进行基于人口的评估.
- 评估高精度人工智能算法的有效性,用于分析牙科全景放射图,用于流行病学目的.
- 为了确定受研究人群中普遍存在的口腔病理和治疗模式.
主要方法:
- 一项涉及980名接受全景射线图的成年受试者的横截面研究.
- 使用经过验证的AI算法对超过25万张X射线图进行训练的DPR分析.
- 具体的诊断包括牙损伤,缺失的牙,填充物,根管治疗,内牙病变,植入物和各种冠状类型.
主要成果:
- 该研究群体平均有15颗健康的牙,较低的牙门的患病率更高.
- 牙损影响了99%的参与者,67%的参与者接受了根管治疗,其中20%的参与者表现出周周病变.
- 牙损失很普遍 (82%),牙 (9%) 比植入物 (2%) 更常见,用于更换.
结论:
- 人工智能驱动的DPR分析是人口层面口腔健康评估的有效工具.
- 尽管有所改善,但研究波兰人口的口腔健康状况仍然不令人满意,这凸显了加强公共卫生倡议的必要性.
- 由于横截面设计和人工智能分析的固有局限性,研究结果应谨慎解释.
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