Kaushik Richa, Rapaka Ravindra
Wayne State University, Detroit, Michigan.
University of Connecticut, Storrs, Connecticut.
Discoveries (Craiova). 2024 Dec 31;12(4):e199. doi: 10.15190/d.2024.18. eCollection 2024 Oct-Dec.
This scoping review investigates the integration of AI into teledentistry with a focus on patient-centered perspectives and future directions. Teledentistry has progressed rapidly in the COVID-19 pandemic period, providing remote dental care by means of digital communication technologies.The introduction of AI has made diagnosis more precise, treatment planning more personalized, and processes more efficient and have also made dental services better accessible to the underserved. AI algorithms help in early diagnosis of dental issues, provides customized treatment plans, and improve patient outcomes. Despite the advantages, still many challenges exist. These are ethical concerns, data privacy issues, and regulatory hurdles that prevent widespread adoption. Use of AI in dental settings results in patients having mixed sentiments surrounding trust and data security arising out of fear of having reduced personal interactions with providers. Additionally, AI driven teledentistry is not validated in large scale clinical setting and cost effectiveness assessment which undermines scalability. This review identifies gaps in existing research and provides guidance for how patient-centered applications further facilitate increased transparency, AI education, and cross-disciplinary collaboration among dentists, computer scientists, ethicists, and policymakers. The future research should include clinical validation, economics, and ethical standards to make AI teledentistry use responsible and inclusive. This scoping review equips clinicians and researchers with a roadmap for responsible, patient-centered implementation of AI-enabled teledentistry, offering practical strategies and insights to enhance the quality and accessibility of remote dental care.
本综述性研究调查了人工智能在远程牙科中的整合情况,重点关注以患者为中心的视角和未来发展方向。在新冠疫情期间,远程牙科发展迅速,借助数字通信技术提供远程牙科护理。人工智能的引入使诊断更精确、治疗计划更个性化、流程更高效,也使牙科服务更容易为服务不足的人群所获得。人工智能算法有助于早期诊断牙科问题、提供定制化治疗方案并改善患者治疗效果。尽管有这些优势,但仍存在许多挑战。这些挑战包括伦理问题、数据隐私问题以及阻碍广泛应用的监管障碍。在牙科环境中使用人工智能导致患者对信任和数据安全产生复杂情绪,因为担心与医疗服务提供者的人际互动减少。此外,人工智能驱动的远程牙科在大规模临床环境和成本效益评估中尚未得到验证,这削弱了其可扩展性。本综述确定了现有研究中的差距,并为以患者为中心的应用如何进一步提高透明度、开展人工智能教育以及促进牙医、计算机科学家、伦理学家和政策制定者之间的跨学科合作提供了指导。未来的研究应包括临床验证、经济学和伦理标准,以使人工智能在远程牙科中的应用既负责又具有包容性。本综述性研究为临床医生和研究人员提供了一个路线图,以便以负责、以患者为中心的方式实施人工智能支持的远程牙科,提供切实可行的策略和见解,以提高远程牙科护理的质量和可及性。