Artificial Intelligence in Periodontology: A Scoping Review.
Artificial Intelligence in Periodontology: A Scoping Review.
复制标题
DOI:
10.3390/dj11020043
复制
发表时间:
2023-02-08
影响因子:
2.6
通讯作者:
Andrew, David
中科院分区:
文献类型:
--
作者:
Scott, James;Biancardi, Alberto M.;Jones, Oliver;Andrew, David
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.
登录
查看更多内容
DOI:
10.1007/s11548-021-02431-z
发表时间:
2021-07
影响因子:
3
作者:
Danks RP;Bano S;Orishko A;Tan HJ;Moreno Sancho F;D'Aiuto F;Stoyanov D
通讯作者:
Stoyanov D
影响因子:
--
作者:
Hegde, Harshad;Shimpi, Neel;Acharya, Amit
通讯作者:
Acharya, Amit
DOI:
10.3390/ijerph17228447
发表时间:
2020-11-15
影响因子:
--
作者:
Alalharith DM;Alharthi HM;Alghamdi WM;Alsenbel YM;Aslam N;Khan IU;Shahin SY;Dianišková S;Alhareky MS;Barouch KK
通讯作者:
Barouch KK
影响因子:
3.3
作者:
Feres, Magda;Louzoun, Yoram;Levin, Liran
通讯作者:
Levin, Liran
DOI:
10.1259/bjr.20201107
发表时间:
2022-04-01
期刊:
The British journal of radiology
影响因子:
--
作者:
通讯作者:
--