20Dec 2018

ARTIFICIAL INTELLIGENCE IN DENTISTRY: CURRENT CONCEPTS AND A PEEP INTO THE FUTURE.

  • Professor and Head ,Department of Oral Pathology and Microbiology.
  • Reader,Department of Periodontics, Noorul Islam College of Dental Sciences, Aralamoodu P.O, Trivandrum 695123,Kerala ,India.
Crossref Cited-by Linking logo
  • Abstract
  • Keywords
  • References
  • Cite This Article as
  • Corresponding Author

The last decade has marked the evolution of artificial intelligence which has been ushered in with tremendous hype and enthusiasm and dentistry is no exception. The tremendous amount of patient data requires intelligent software for computation. In dentistry artificial intelligence holds lot of importance including patient diagnosis,storage of patient data,asessment of genetic information which will provide better health care for patients. The robotic surgery techniques have made a big impact in surgery. Artificial intelligence helps dentists in providing better orthodontic and prosthodontic treatment. Inspite of these many advances ,artificial intelligence is still in itsteething stage but the potential is unlimited.

  1. Shapiro SC(1992).Encyclopedia of Artificial Intelligence. .2ndVol 1 and 2,NewYork,Wiley.
  2. TurimgMA(1950).Computing machinery and Intelligence. Mind ;49:433-460.
  3. RusellS,Norvig P(2010).Artificial Intelligence: A Modern Approach.3rdNewJersey:Pearson education.
  4. Neumann G(2001).Programming languages in Artificial intelligence.Kaiserslantern;German Research Centre of Artificial Intelligence (LT-Lab,DFKI).
  5. AlbuA,Ungureanu L(2005).Artificial Neural Network in Medicine.Internatonal Journal of Computer Science.
  6. Bishop CM(2006).Pattern Recognition and Machine Learning.Springer-Verlag New York Inc.
  7. Ian G,YoshuaB,Aaaron C(2016).Deep Learning.MITPress,Page 196.
  8. Dennis William II(2015).The Lengthhy History of Augmented Reality.Huffington Post.
  9. Rosenberg(1992).The use of Virtual Fixtures as Perceptual Overlays to Enhance Operator Perfomance in Remote Environments.Technical Report AL-TR-0089,USAF.Armstrong Laboratory.
  10. Kwon HB,ParkYS,Han JS (2018).Augmented reality in dentistry:A current perspective. ActaOdontoScand ; 76(7):497-503.
  11. Hoffman HG,Garcio-PalaiosA,PattersonDR,Jenson M et.al.The effectiveness of Virtual Reality for Dental pain Control:A Case Study CyberpsycolBehavVol 4(40);52-35.
  12. Le Blanc VR,UrbankovaA,HadaviF,Lichtenthal RM(2004). A Preliminery Study in Using Virtual Reality to Train Dental Students. Journal of Dental Education;Vol 68(3):378-83.
  13. Shin H,Markey M(2006) . A machine learning perspective on the devolepment of CDSS utilizing man spectra of blood sample. J of Biomedical Informatics,37(2):22-248.
  14. TunjugsariV,SabiqA,SofroASM,Kardiana A(2017).Investigating CDSS Success Factors with Usability Testing. Int J Advanced Computer Science and Application (IJA CSA),Vol 8(11):548-554.
  15. http// soothing dental/2016/10/03/welcome-ava-the first ai-based-dental-assistant.
  16. LavracN(1999).Selected Technique for Data Mining in Medicine.ArifIntell Med,16(1):3-23.
  17. MajumdarB,SarodaSC,SarodaGS,Patil S(2018).Technology:ArtificialIntelligence.BDJ 224,916.
  18. RuppinJ,PopovioA,StraussM,SpuntrupE,SternerA,Stoll C(2008).Evaluation of the accuracy of three different computer aided surgery systems in dental implantology: Optical tracking versus Stereolithographic splint systems.Clinical Oral Implant Research,19(7):709-716.
  19. WidmanG(2007).Image guide surgery and medical robotics in cranial area.Biomedical Imaging and Intervention Journal. ,3(1):e11:1-9.
  20. SarmentDP,Al-ShamnaviK,Kazor CE(2003).Sterolithographic surgical templates for placement of dental implants in complex cases.Int J PeriodontRestor Dent,23(3):287-95.
  21. Fried MP,Moharir VM et.al(2002).Comparison of endoscopic surgery with and without image guidance.American Journal of Rhinology&Allergy,16(4):193-7.
  22. Hammond P,DavenportJC,Fitzpatrick FJ(1993).Logic based constraints and design of dental prosthesis .Artificial Intelligence in Medicine,Vol 5(5),431-446.
  23. SusicI,TravarM,SusicM.The application of CAD/CAM technology in Dentistry.IOPConf Series: Materials Science and 200(2017 Engineering)012020.
  24. XieX,WangL,Wang A(2010).Artificial Neural Network Modelling for Deciding if Extraction are Necessary Prior to Orthodontic Treatment.Angle Orthod,80:262-66.
  25. KattadiyilMT,MursicZ,AlRumaihH,Goodacre CJ(2014).Intraoral scanning of hard and soft tissues for partial removable dental prosthesis fabrication. J Prosthet Dent;112:444-448.

[Bijo Alexander and Sunil John. (2018); ARTIFICIAL INTELLIGENCE IN DENTISTRY: CURRENT CONCEPTS AND A PEEP INTO THE FUTURE. Int. J. of Adv. Res. 6 (Dec). 1105-1108] (ISSN 2320-5407). www.journalijar.com

BIJO ALEXANDER
PROFESSOR AND HEAD,DEPT.OF ORAL PATHOLOGY AND AND MICROBIOLOGY,NOORUL ISLAM COLLEGE OF DENTAL SCIENCES,ARALAMOODU P.O,TRIVANDRUM,KERALA,695123.

DOI:

Article DOI: 10.21474/IJAR01/8242      
DOI URL: https://dx.doi.org/10.21474/IJAR01/8242

Download Full Paper

Download PDF No. of Downloads: 409 | No. of Views: 931