Artificial intelligence (AI) is the subfield of computer science concerned with projection of intelligent machines, software, and algorithms. By way of computer-assisted monitoring of dental patients, the amount of raw electronic data markedly enlarges, creating the possibility of using AI in scientific analysis. In order to prevent the reasons and diminish the need for dental extraction, it is necessary to always have updated information about the reasons for extraction, so we make use of AI analysis. Our aim was to assess the possible use of AI in the collection, triage, sorting, counting, and analysis of electronic data, drawing scientifically acceptable conclusions. A case-control study of electronic data was done. Data preparation and counting were done using special C# codes. The analysis of impact of non-dental attributes was done using the OLAP analysis and specific detection algorithm. OLAP detected the attribute of age with sensitivity of 44.0% and specificity of 100.0%, and value of attibute of age from 55 to 64. The specific algorithm gave direct reasons: caries (43.77%), periodontal diseases (37.23%), fracture (6.82%), prosthetic reasons (4.31%), impactions (3.12%), orthodontic reasons (2.73%), primary teeth (0.32%), and others (1.7%). The algorithm found that the impact of attributes of gender, age, and job was statistically significant (gender: Χ²=7.095, df=1, p=0.0077; age: Χ²≈261, df=8, p<0.0001; job: Χ²≈46, df=7, p<0.0001). Using AI, raw electronic data can be successfully collected, triaged, sorted, counted, and analyzed, and utilized AI algorithms can perform non-parametric evaluation of the possible impact of non-dental attributes, producing scientifically valid conclusions.
Russell S, Norvig P. Artificial Intelligence: A Modern Approach. 2010;(3).
4.
Michie D. Data Mining: Discovering Interesting Relationships in Large Data Sets.
5.
Association for the Advancement of Artificial Intelligence. 2010;
6.
Rahman H. Data Mining Applications for Empowering Knowledge Societies. 2008;
7.
Jevtović I. Telemedicine -the future that has already begun. 2008;
8.
Widmann G, Stoffner R, Keiler M, Zangerl A, Widmann R, Puelacher W, et al. A laboratory training and evaluation technique for computer-aided oral implant surgery. Int J Med Robot. 2009;(3):276–83.
9.
Schulze R, Heil U, Weinheimer O, Gross D, Bruellmann D, Thomas E, et al. radiographic projections based on three spherical references for the purpose of few-view 3D reconstruction. Med Phys. 2008;(2):546–55.
10.
Xie X, Wang L, Wang A. Artificial neural network modeling for deciding if extractions are necessary prior to orthodontic treatment. Angle Orthod. 2010;(2):262–6.
11.
Johansen S, Johansen J. A survey of causes of permanent tooth extractions in South Australia. Aust Dent J. 1977;(4):238–42.
12.
Cahen P, Frank R, Turlot J. A survey of the reasons for dental extractions in France. J Dent Res. 1985;(8):1087–93.
13.
Aida J, Ando Y, Akhter R, Aoyama H, Masui M, Morita M. Reasons for permanent tooth extractions in Japan. J Epidemiol. 2006;(5):214–9.
14.
Da. Reasons for permanent tooth extraction in the North of Afghanistan. J Dent. 2006;(1):48–51.
15.
Hull P, Worthington H, Clerehugh V, Tsirba R, Davies R, Clarkson J. The reasons for tooth extractions in adults and their validation. J Dent. 1997;(3–4):233–7.
16.
Kf AS, Al-Ansari J, Ma AM, Ak AK. Reasons for tooth extraction in Kuwait. Med Princ Pract. 2006;(6):417–22.
17.
Anand P, Kamath K, Nair B. Trends in extraction of permanent teeth in private dental practices in Kerala state. India J Contemp Dent Pract. 2010;(3):41–8.
18.
Curilović Z. Causes of tooth loss in Switzerland. Results of an inquiry of private dental practitioners. (In German). SSO Schweiz Monatsschr Zahnheilkd. 1979;(8):727–37.
19.
Niessen L, Weyant R. Causes of tooth loss in a veteran population. J Public Health Dent. 1989;(1):19–23.
20.
Corbet E, Davies W. Reasons given for tooth extraction in Hong Kong. Community Dent Health. 1991;(2):121–30.
21.
Richards W, Ameen J, Coll A, Higgs G. Reasons for tooth extraction in four general dental practices in South Wales. Br Dent J. 2005;(5):275–8.
22.
Lesolang R, Motloba D, Lalloo R. Patterns and reasons for tooth extraction at the Winterveldt Clinic: 1998-2002. SADJ. 2009;(5):214–5.
23.
Ctrnáctová B, Skalská H. Reasons for extraction of permanent teeth in a health community dental centre. (In Czech). Prakt Zubn Lek. 1990;(5):139–44.
24.
Stabholz A, Babayof I, Mersel A, Mann J. The reasons for tooth loss in geriatric patients attending two surgical clinics in Jerusalem, Israel. Gerodontology. 1997;(2):83–8.
25.
Kabat W. The reasons of tooth extraction taking into consideration the socio economical status during changes in the public health service in the West-Pomeranian voivodeship. (In Polish). Ann Acad Med Stetin. 2008;(1):127–35.
26.
Stephens R, Kogon S, Jarvis A. A study of the reasons for tooth extraction in a Canadian population sample. J Can Dent Assoc. 1991;(6):501–4.
27.
Klock K, Haugejorden O. Primary reasons for extraction of permanent teeth in Norway: changes from 1968 to 1988. Community Dent Oral Epidemiol. 1991;(6):336–41.
28.
Reich E, Hiller K. Reasons for tooth extraction in the western states of Germany. Community Dent Oral Epidemiol. 1993;(6):379–83.
29.
Morita M, Kimura T, Kanegae M, Ishikawa A, Watanabe T. Reasons for extraction of permanent teeth in Japan. Community Dent Oral Epidemiol. 1994;(5):303–6.
30.
Ong G, Yeo J, Bhole S. A survey of reasons for extraction of permanent teeth in Singapore. Community Dent Oral Epidemiol. 1996;(2):124–7.
31.
Murray H, Clarke M, Locker D, Kay E. Reasons for tooth extractions in dental practices in Ontario, Canada according to tooth type. Int Dent J. 1997;(1):3–8.
32.
Haddad I, Haddadin K, Jebrin S, Ma’ani M, Yassin O. Reasons for extraction of permanent teeth in Jordan. Int Dent J. 1999;(6):343–6.
33.
Hassan A. Reasons for tooth extraction among patients in Sebha, Libyan Arab Jamahiriya: a pilot study. East Mediterr Health J. 2000;(1):176–8.
34.
Caldas A. Reasons for tooth extraction in a Brazilian population. Int Dent J. 2000;(5):267–73.
35.
Agerholm D. Reasons for extraction by dental practitioners in England and Wales: a comparison with 1986 and variations between regions. J Dent. 2001;(4):237–41.
36.
Mccaul L, Jenkins W, Kay E. The reasons for the extraction of various tooth types in Scotland: a 15year follow up. J Dent. 2001;(6):401–7.
37.
Jovino-Silveira R, Ade C, Jr F, De Souza E, Gusmão E. Primary reason for tooth extraction in a Brazilian adult population. Oral Health Prev Dent. 2005;(3):151–7.
38.
Hamasha A, Qudah A, Bataineh M, Safadi A, R. Reasons for third molar teeth extraction in Jordanian adults. J Contemp Dent Pract. 2006;(5):88–95.
39.
Aida J, Morita M, Akhter R, Aoyama H, Masui M, Ando Y. Relationships between patient characteristics and reasons for tooth extraction in Japan. 2009;
40.
Isco. International Standard Classification of Occupations. 24AD;
41.
The Ministry of Health, Labour and Welfare. Table of job classification. 1999;
42.
Ruđer I, Bošković. 1AD;
43.
Introduction to Data Mining and Knowledge Discovery. 1999;
44.
Morita I, Nakagaki H, Yoshii S, Tsuboi S, Hayashizaki J, Mizuno K, et al. Is there a gradient by job classification in dental status in Japanese men? Eur J Oral Sci. 2007;(4):275–9.
45.
Neto J, Nadanovsky P. Social inequality in tooth extraction in a Brazilian insured working population. Community Dent Oral Epidemiol. 2007;(5):331–6.
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