Attitudes, knowledge, and perceptions of dentists and dental students toward artificial intelligence: a systematic review

被引：25

作者：

Dashti, Mahmood ^{[1
,15
]}

Londono, Jimmy ^{[2
,3
,4
]}

Ghasemi, Shohreh ^{[5
]}

Khurshid, Zohaib ^{[6
,7
]}

Khosraviani, Farshad ^{[8
]}

Moghaddasi, Negar ^{[9
]}

Zafar, Muhammad S. ^{[10
,11
,12
,13
]}

Hefzi, Delband ^{[14
]}

机构：

[1] Shahid Beheshti Univ Med Sci, Sch Dent, Dept Dent, Tehran, Iran

[2] Dept Oral & Maxillofacial Surg, Augusta, GA USA

[3] Augusta Univ, Prosthodont Residency Program, Augusta, GA USA

[4] Augusta Univ, Ronald Goldstein Ctr Esthet & Implant Dent, Dent Coll Georgia, Augusta, GA USA

[5] Queen Mary Coll, London, England

[6] King Faisal Univ, Coll Dent, Dept Prosthodont & Dent Implantol, Al Hasa, Saudi Arabia

[7] Chulalongkorn Univ, Fac Dent, Ctr Excellence Regenerat Dent, Dept Anat, Bangkok, Thailand

[8] UCLA, Dept Dent, Clin Dent, Sch Dent, Los Angeles, CA USA

[9] Western Univ Hlth Sci, Coll Dent Med, Dept Dent, Pomona, CA USA

[10] Taibah Univ, Coll Dent, Dept Restorat Dent, Al Madinah, Saudi Arabia

[11] Ajman Univ, Ctr Med & Bioallied Hlth Sci Res, Ajman 346, U Arab Emirates

[12] Univ Jordan, Sch Dent, Amman, Jordan

[13] Riphah Int Univ, Islamic Int Coll, Dept Dent Mat, Islamabad, Pakistan

[14] Univ Tehran Med Sci, Sch Dent, Dept Dent, Tehran, Iran

[15] Shahid Beheshti Univ Med Sci, Dent Sch, Unit 130, Bld Arghavan 6, Tehran, Iran

来源：

JOURNAL OF TAIBAH UNIVERSITY MEDICAL SCIENCES | 2024年 / 19卷 / 02期

关键词：

Artificial intelligence; Deep learning; Dental practitioner; Dental students; Dentistry; Machine learning; ORAL RADIOLOGY; FUTURE; EDUCATION; IMPACT;

D O I：

10.1016/j.jtumed.2023.12.010

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Objectives: 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. Methods: 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. Results: 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. Conclusions: 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.

引用

页码：327 / 337

页数：11

共 24 条

[1] Perception and Utilization of Artificial Intelligence (AI) among Dental Professionals in Saudi Arabia [J].