Artificial Intelligence in Periodontology: A Scoping Review

被引:18
|
作者
Scott, James [1 ]
Biancardi, Alberto M. [2 ]
Jones, Oliver [1 ]
Andrew, David [1 ]
机构
[1] Univ Sheffield, Sch Clin Dent, Sheffield S10 2TA, England
[2] Polaris, Dept Infect Immun & Cardiovasc Dis, 18 Claremont Crescent, Sheffield S10 2TA, England
关键词
periodontology; artificial intelligence; convolutional neural networks; radiography; COMPROMISED TEETH; RADIOGRAPHS; DIAGNOSIS; DISEASE; HEALTH;
D O I
10.3390/dj11020043
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Artificial intelligence (AI) is the development of computer systems whereby machines can mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose and treat diseases. Periodontitis is one of the most common diseases worldwide, causing the destruction and loss of the supporting tissues of the teeth. This study aims to assess current literature describing the effect AI has on the diagnosis and epidemiology of this disease. Extensive searches were performed in April 2022, including studies where AI was employed as the independent variable in the assessment, diagnosis, or treatment of patients with periodontitis. A total of 401 articles were identified for abstract screening after duplicates were removed. In total, 293 texts were excluded, leaving 108 for full-text assessment with 50 included for final synthesis. A broad selection of articles was included, with the majority using visual imaging as the input data field, where the mean number of utilised images was 1666 (median 499). There has been a marked increase in the number of studies published in this field over the last decade. However, reporting outcomes remains heterogeneous because of the variety of statistical tests available for analysis. Efforts should be made to standardise methodologies and reporting in order to ensure that meaningful comparisons can be drawn.
引用
收藏
页数:25
相关论文
共 50 条
  • [41] Artificial intelligence in early childhood education: A scoping review
    Su J.
    Yang W.
    Computers and Education: Artificial Intelligence, 2022, 3
  • [42] The Use of Artificial Intelligence in the Detection of Chondrosarcomas: A Scoping Review
    Ogunmwonyi, I
    BRITISH JOURNAL OF SURGERY, 2024, 111
  • [43] The Integration of Artificial Intelligence in Inclusive Education: A Scoping Review
    Pagliara, Silvio Marcello
    Bonavolonta, Gianmarco
    Pia, Mariella
    Falchi, Stefania
    Zurru, Antioco Luigi
    Fenu, Gianni
    Mura, Antonello
    INFORMATION, 2024, 15 (12)
  • [44] Applications of Artificial Intelligence to Office Laryngoscopy: A Scoping Review
    Yao, Peter
    Usman, Moon
    Chen, Yu H.
    German, Alexander
    Andreadis, Katerina
    Mages, Keith
    Rameau, Anais
    LARYNGOSCOPE, 2022, 132 (10): : 1993 - 2016
  • [45] Artificial intelligence assisted telehealth for nursing: A scoping review
    Choi, Jeeyae
    Woo, Seoyoon
    Ferrell, Anastasiya
    JOURNAL OF TELEMEDICINE AND TELECARE, 2025, 31 (01) : 140 - 149
  • [46] The application of artificial intelligence in health policy: a scoping review
    Ramezani, Maryam
    Takian, Amirhossein
    Bakhtiari, Ahad
    Rabiee, Hamid R.
    Ghazanfari, Sadegh
    Mostafavi, Hakimeh
    BMC HEALTH SERVICES RESEARCH, 2023, 23 (01)
  • [47] Adopting artificial intelligence in cardiovascular medicine: a scoping review
    Hisaki Makimoto
    Takahide Kohro
    Hypertension Research, 2024, 47 : 685 - 699
  • [48] Gut microbiota and artificial intelligence approaches: A scoping review
    Iadanza, Ernesto
    Fabbri, Rachele
    Basic-CiCak, Dzana
    Amedei, Amedeo
    Telalovic, Jasminka Hasic
    HEALTH AND TECHNOLOGY, 2020, 10 (06) : 1343 - 1358
  • [49] Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
    Abd-alrazaq, Alaa
    AlSaad, Rawan
    Aziz, Sarah
    Ahmed, Arfan
    Denecke, Kerstin
    Househ, Mowafa
    Farooq, Faisal
    Sheikh, Javaid
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [50] Artificial Intelligence in Undergraduate Medical Education: A Scoping Review
    Lee, Juehea
    Wu, Annie Siyu
    Li, David
    Kulasegaram, Kulamakan
    ACADEMIC MEDICINE, 2021, 96 (11S) : S62 - S70