Dashti Mahmood, Londono Jimmy, Ghasemi Shohreh, Khurshid Zohaib, Khosraviani Farshad, Moghaddasi Negar, Zafar Muhammad S, Hefzi Delband
Department of Dentistry, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Oral and Maxillofacial Surgery, Board Certified Prosthodontist, FACP, Professor and Director of the Prosthodontics Residency Program and the Ronald Goldstein Center for Esthetics and Implant Dentistry, Dental College of Georgia at Augusta University, Augusta, GA, USA.
J Taibah Univ Med Sci. 2024 Jan 12;19(2):327-337. doi: 10.1016/j.jtumed.2023.12.010. eCollection 2024 Apr.
This research was aimed at assessing comprehension, attitudes, and perspectives regarding artificial intelligence (AI) in dentistry. The null hypothesis was a lack of foundational understanding of AI in dentistry.
This systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted in May 2023. The eligibility criteria included cross-sectional studies published in English until July 2023, focusing solely on dentists or dental students. Data on AI knowledge, use, and perceptions were extracted and assessed for bias risk with the Joanna Briggs Institute checklist.
Of 408 publications, 22 relevant articles were identified, and 13 studies were included in the review. The average basic AI knowledge score was 58.62 % among dental students and 71.75 % among dentists. More dental students (72.01 %) than dentists (62.60 %) believed in AI's potential for advancing dentistry.
Thorough AI instruction in dental schools and continuing education programs for practitioners are urgently needed to maximize AI's potential benefits in dentistry. An integrated PhD program could drive revolutionary discoveries and improve patient care globally. Embracing AI with informed understanding and training will position dental professionals at the forefront of technological advancements in the field.
本研究旨在评估牙科领域对人工智能（AI）的理解、态度和观点。原假设是牙科领域对AI缺乏基本的了解。
本系统评价遵循系统评价与Meta分析的首选报告项目（PRISMA）指南，于2023年5月进行。纳入标准包括截至2023年7月以英文发表的横断面研究，且仅关注牙医或牙科学生。提取有关AI知识、使用和认知的数据，并使用乔安娜·布里格斯研究所清单评估偏倚风险。
在408篇出版物中，确定了22篇相关文章，13项研究纳入本评价。牙科学生的平均AI基础知识得分是58.62%，牙医为71.75%。相信AI有推动牙科发展潜力的牙科学生（72.01%）多于牙医（62.60%）。
迫切需要在牙科学院进行全面的AI教学，并为从业者开展继续教育项目，以最大限度地发挥AI在牙科领域的潜在益处。一个综合性的博士项目可以推动革命性的发现，并在全球范围内改善患者护理。以明智的理解和培训来接纳AI，将使牙科专业人员处于该领域技术进步的前沿。
