Australasian Dentist Issue 92

CATEGORY AUSTRALASIAN DENTIST 65 LINICAL for Legislation of AI/ML technologies in our clinical and educational services in Australia will ultimately be the product of input of our profession, our community, regulatory agencies and other stakeholders such as professional indemnity insurance providers and personalised health providers. u Previous Articles Part One. Clinical Technologies Sep-Oct 2021 Part Two. Personalised Health, AI/ML Skills and Education Technologies Nov-Dec 2021 Infographic by WOW Studios Content of these articles is derived from an invited presentation of the 2021 Scientific Meeting of The International College of Prosthodontists, “Prosthodontics 2041 – Dr Ken Hooi”. References 1. Hyman JJ & Doblecki W. Computerized Endodontic Diagnosis. Journal of the American Dental Association 1983:107(5):755-8. 2. White SC. Decision-support systems in Dentistry. Journal of Dental Education 1996; 60(1):47-63. 3. Brickley MR & Shepherd JP. Performance of a neural network trained to make third molar treatment planning decisions. Medical Decision Making 1996;16(2):153-60. 4. Davenport JC, Hammond P, Hazlehurst P. Knowledge-based systems, removable partial denture design and the development of RaPiD. Dental Update 1997;24(6):227-33. 5. Mendonça E. Clinical Decision Support Systems: Perspectives in Dentistry. Journal of Dental Education 2004:68; 589-597. 6. Park WJ and Park JB. History and application of artificial neural networks in dentistry. European Journal of Dentistry. 2018 Oct-Dec; 12(4):594-601. 7. Ekert T, Krois J, Meinhold L, Elhennawy K, Emara R, Golla T, Schwendicke F. Deep Learning for the Radiographic Detection of Apical Lesions. Journal of Endodontics 2019 Jul; 45(7):917-922. 8. Beam AL & Kohane IS. Big Data and Machine Learning in Healthcare. Journal of the American Medical Association 2018: March;E1-2. 9. Grischke J, Johannsmeier L, Eicha L, Grigaa L, Haddadin S. Dentronics: Towards robotics and artificial intelligence in dentistry. Dental Materials 2020; 36(6):765-778. 10. Hwang JJ, Azernikov S, Efros, Yu SX. Learning Beyond Human Expertise with Generative Models for Dental Restorations. University of California, Berkeley and Glidewell Dental Labs. arXiv:1804.00064v1 [cs.CV] . 30 March 2018. 11. Blatz MB, Chiche G, Bahat O, Roblee R, Coachman C, Heymann HO. Evolution of Aesthetic Dentistry. Journal of Dental Research 2019; Vol. 98(12):1294–1304. 12. image-navigation.com 13. Pellegrino G, Mangano C, Mangano R, Ferri A, Taraschi V and Claudio M. Augmented reality for dental implantology: a pilot clinical report of two cases. BMC Oral Health (2019) 19:158. 14. Australian Government Department of HealthTherapeutic Goods Association. Clinical decision support software. Scope and examples. Version 1.1, October 2021. 15. Trevena L, McCaffery K, Salkeld G, Glasziou P, Del Mar C, Doust J, Hoffman T. Clinical decision-making tools: how effective are they in improving the quality of health care? Deeble Institute for Health Policy Research. Australian Healthcare and Hospitals Association. Commissioned by the Australian Government National Lead Clinicians Group. 17 June 2014. 16. Trevena L, Shepherd HL, Bonner C, Jansen J, Cust AE, Leaske J, Shadbolt N, Del Mar C, McCaffery K, Hoffmann T. Shared decision making in Australia in 2017. Z. Evid. Fortbild. Qual. Gesundh. Wesen. (ZEFQ) 123-124 (2017) 17–20. 17. https://www.safetyandquality.gov.au/our- work/partnering-consumers/shared-decision- making/decision-support-tools-patients 18. Australian Health Practitioner Regulatory Agency. Annual Report 2019/20. 19. Personal communication with Rhett Clayton, Guild Insurance National Claims Manager, 2022. 20. Dental Informatics & Digital Health Committee. Policy Statement 6.34 Artificial Intelligence in Dentistry. Australian Dental Association. 20 November 2020. 21. Personal communication with Dr Michelle Mun, Dental Informatics & Digital Health Committee Chair, Australian Dental Association, 2021. 22. Awad E, Dsouza S, Kim R, Schulz J, Henrich J, Shariff A, Bonnefon J-F, Rahwan I. The Moral Machine experiment. Nature. 2018 November; 563(7729). 23. https://mitpress.mit.edu/books/car-knew-too- much. 24. White SC. Decision-support systems in Dentistry. Journal of Dental Education 1996; 60(1):47-63.