Marwaha Jasmine, Singla Mamta, Nath Amar, Arya Ashtha
Department of Conservative Dentistry and Endodontics, SGT Dental College, Hospital and Research Institute, SGT University, Gurugram, Haryana, India.
Department of Computer Sciences and Engineering, Sant Longowal Institute of Engineering and Technology, Sangrur, Punjab, India.
J Conserv Dent Endod. 2025 May;28(5):401-405. doi: 10.4103/JCDE.JCDE_172_25. Epub 2025 May 6.
Early diagnosis and carious lesion detection through artificial intelligence (AI) have transformed current standard methodologies because it generates precise results which work more efficiently and dependably. AI uses machine learning and deep learning technologies with computer-aided diagnostic systems to accomplish exceptional image evaluation of radiographic data and clinical records in dental caries detection through intraoral scans. This review discusses both prevailing challenges which limit and potential future uses of AI in dental diagnosis together with its ability to become a part of standard clinical work routines. Various researchers confirmed that AI works as a helpful tool which supports dental experts by improving diagnosis and minimizing human biases to enhance preventive care effects for patients.
通过人工智能(AI)进行早期诊断和龋损检测已经改变了当前的标准方法,因为它能产生精确的结果,工作效率更高且更可靠。人工智能利用机器学习和深度学习技术以及计算机辅助诊断系统,通过口腔内扫描对龋齿检测中的放射影像数据和临床记录进行出色的图像评估。这篇综述讨论了限制人工智能在牙科诊断中应用的当前挑战、其未来的潜在用途,以及它成为标准临床工作流程一部分的能力。众多研究人员证实,人工智能是一种有用的工具,可通过改善诊断和最大限度减少人为偏差来支持牙科专家,从而增强对患者的预防保健效果。