Bibliografia – Intelligenza Artificiale in Odontoiatria. Stato dell’arte

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Odontoiatria Digitale

Intelligenza Artificiale in Odontoiatria. Stato dell'arte

  1. Somalvico M. Intelligenza artificiale. In: Enciclopedia italiana di scienze lettere ed arti. Appendice V. Roma: Istituto della Enciclopedia Italiana; 1991:735-738.
  2. Carrillo-Perez F, Pecho OE, Morales JC, Paravina RD, Della Bona A, Ghinea R, Pulgar R, Pérez MM, Herrera LJ. Applications of artificial intelligence in dentistry: a comprehensive review. J Esthet Restor Dent. 2022;34:259–280.
  3. Mayta-Tovalino F, Munive-Degregori A, Luza S, Cárdenas-Mariño FC, Guerrero ME, Barja-Ore J. Applications and perspectives of artificial intelligence, machine learning and "Dentronics" in dentistry: a literature review. J Int Soc Prev Community Dent. 2023;13(1):1–8. doi:10.4103/jispcd.JISPCD_35_22
  4. Taye MM. Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions. Computers. 2023;12(5):91. doi:10.3390/computers12050091.
  5. Shan T, Tay FR, Gu L. Application of Artificial Intelligence in Dentistry. J Dent Res. 2021;100(3):232-244. doi:10.1177/0022034520969115.
  6. Schwendicke F, Blatz M, Uribe S, Cheung W, Verma M, Linton J, et al. Artificial intelligence for dentistry. FDI Artificial Intelligence Working Group. FDI. 2023. Available from: https://www.fdiworlddental.org/sites/default/files/2023-01/FDI%20ARTIFICIAL%20INTELLIGENCE%20WORKING%20GROUP%20WHITE%20PAPER_0.pdf [accessed 2023-11-29]
  7. Nazemian S, Boggs ST, Jimenez Ciriaco E, Abu Shakra H, Jung EY, Lotfalikhan-Zand YB, Price JB, Bashirelahi N. What every dentist needs to know about the use of artificial intelligence in dentistry. Gen Dent. 2023;71(3):23–27. doi:10.1016/j.heliyon.2024.e24221
  8. Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives. Quintessence Int. 2020;51(3):248-257. doi:10.3290/j.qi.a43952. Erratum in: Quintessence Int. 2020;51(5):430. PMID: 32020135.
  9. Mohan R, Fenn SM. Artificial intelligence and its theranostic applications in dentistry. Cureus. 2023;15(5):e38711. doi:10.7759/cureus.38711.
  10. Mahdi SS, Battineni G, Khawaja M, Allana R, Siddiqui MK, Agha D. How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare. Int J Inf Manag Data Insights. 2023;3(1):100144. doi:10.1016/j.jjimei.2022.100144.
  11. Dhopte A, Bagde H. Smart Smile: Revolutionizing Dentistry With Artificial Intelligence. Cureus. 2023;15(6):e41227. doi:10.7759/cureus.41227.
  12. Chau RCW, Hsung RTC, McGrath C, Pow EHN, Lam WYH. Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study. J Prosthet Dent. 2023. doi:10.1016/j.prosdent.2022.12.004.
  13. Farajollahi M, Safarian MS, Hatami M, Esmaeil Nejad A, Peters OA. Applying artificial intelligence to detect and analyse oral and maxillofacial bone loss – A scoping review. Aust Endod J. 2023;49(3):720-734. doi:10.1111/aej.12775.
  14. Abdelaziz M. Detection, Diagnosis, and Monitoring of Early Caries: The Future of Individualized Dental Care. Diagnostics. 2023;13(24):3649. doi:10.3390/diagnostics13243649
  15. Turosz N, Chęcińska K, Chęciński M, Brzozowska A, Nowak Z, Sikora M. Applications of artificial intelligence in the analysis of dental panoramic radiographs: an overview of systematic reviews. Dentomaxillofac Radiol. 2023;52(7):20230284. doi:10.1259/dmfr.20230284.
  16. Neri E, Aghakhanyan G, Zerunian M, et al. Explainable AI in radiology: a white paper of the Italian Society of Medical and Interventional Radiology. Radiol Med. 2023;128:755–764. doi:10.1007/s11547-023-01634-5.
  17. Anil S, Porwal P, Porwal A. Transforming Dental Caries Diagnosis Through Artificial Intelligence-Based Techniques. Cureus. 2023;15(7):e41694. doi:10.7759/cureus.41694.
  18. Geetha V, Aprameya KS, Hinduja DM. Dental caries diagnosis in digital radiographs using back-propagation neural network. Health Inf Sci Syst. 2020;8:8. doi:10.1007/s13755-019-0096-y.
  19. Patil S, Joda T, Soffe B, Awan KH, Fageeh HN, Tovani-Palone MR, Licari FW. Efficacy of artificial intelligence in the detection of periodontal bone loss and classification of periodontal diseases: A systematic review. J Am Dent Assoc. 2023;154(9):795-804.e1. doi:10.1016/j.adaj.2023.05.010.
  20. Chang HJ, Lee SJ, Yong TH, et al. Deep learning hybrid method to automatically diagnose periodontal bone loss and stage periodontals. Sci Rep. 2020;10:7531. doi:10.1038/s41598-020-64509-z
  21. Gupta A, Kharbanda OP, Sardana V, et al. A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images. Int J Comput Assist Radiol Surg. 2015;10:1737–52. doi:10.1007/s11548-015-1173-6.
  22. Mikulka J, Gescheidtová E, Kabrda M, Peřina V. Classification of jaw bone cysts and necrosis via the processing of orthopantomograms. Radioengineering. 2013;22:114–22.
  23. Nurtanio I, Astuti ER, Purnama IKE, et al. Classifying cyst and tumor lesion using support vector machine based on dental panoramic images texture features. IAENG Int J Comput Sci. 2013;40:29–37.
  24. Yilmaz E, Kayikcioglu T, Kayipmaz S. Computer-Aided diagnosis of periapical cyst and keratocyst odontogenic tumor on cone beam computed tomography. Comput Methods Programs Biomed. 2017;146:91–100. doi:10.1016/j.cmpb.2017.05.012.
  25. Alam MK, Alftaikhah SAA, Issrani R, et al. Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies. Heliyon. 2024;10(3):e24221. doi:10.1016/j.heliyon.2024.e24221.
  26. Endres MG, Hillen F, Salloumis M, et al. Development of a deep learning algorithm for periapical disease detection in dental radiographs. Diagnostics. 2020;10:430–21. doi:10.3390/diagnostics10060430.
  27. Orhan K, Bayrakdar IS, Ezhov M, et al. Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans. Int Endod J. 2020;53:680–9. doi:10.1111/iej.13265.
  28. Matsuda S, Miyamoto T, Yoshimura H, Hasegawa T. Personal identification with orthopantomography using simple convolutional neural networks: a preliminary study. Sci Rep. 2020;10:13559. doi:10.1038/s41598-020-70474-4.
  29. Calciolari E, Donos N, Park JC, et al. Panoramic measures for oral bone mass in detecting osteoporosis: a systematic review and meta-analysis. J Dent Res. 2015;94(3 Suppl):17–27. doi:10.1177/0022034514554949
  30. Du X, Chen Y, Zhao J, Xi Y. A convolutional neural network based auto-positioning method for dental arch in rotational panoramic radiography. Annu Int Conf IEEE Eng Med Biol Soc. 2018;2018:2615–8. doi:10.1109/EMBC.2018.8512732.
  31. Iruvuri AG, Miryala G, Khan Y, et al. Revolutionizing Dental Imaging: A Comprehensive Study on the Integration of Artificial Intelligence in Dental and Maxillofacial Radiology. Cureus. 2023;15(12):e50292. doi:10.7759/cureus.50292.
  32. Hiraiwa T, Ariji Y, Fukuda M, et al. A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography. Dentomaxillofac Radiol. 2019;48:20180218. doi:10.1259/dmfr.20180218.
  33. Putra RH, Doi C, Yoda N, et al. Current applications and development of artificial intelligence for digital dental radiography. Dentomaxillofac Radiol. 2022;51(1):20210197. doi:10.1259/dmfr.20210197.
  34. Abdul NS, Shivakumar GC, Sangappa SB, et al. Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis. BMC Oral Health. 2024;24(1):122. doi:10.1186/s12903-023-03533-7.
  35. Rokhshad R, Ducret M, Chaurasia A, et al. Ethical considerations on artificial intelligence in dentistry: a framework and checklist. J Dent. 2023;135:104593. doi:10.1016/j.jdent.2023.104593.
  36. Pasceri D, Bibbolino C, Stasi RM, et al. Intelligenza Artificiale in Radiologia. Milano: SIRM; 2020. ISBN: 979-12-80086-00-6. ISBN (e-book): 979-12-80086-01-3, ISBNA (online) 10.979.1280086/006; doi.org/10.979.1280086/006979-12-80086-00-6.
  37. El-Moghazy N, Farahat T, Alamir A. Dental artificial intelligence systems: An overview and future perspectives. Int J Comput Sci Issues. 2021;18(1):325-33.
  38. Liaw S, Ali S, Fathima S, et al. Artificial intelligence in dentistry: Present applications and future perspectives. Dent J. 2021;9(1):12.
  39. Surlari Z, Budală DG, Lupu CI, et al. Current Progress and Challenges of Using Artificial Intelligence in Clinical Dentistry—A Narrative Review. J Clin Med. 2023;12(23):7378. doi:10.3390/jcm12237378.

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Bibliografia – Intelligenza Artificiale in Odontoiatria. Stato dell’arte - Ultima modifica: 2020-06-09T11:55:30+02:00 da Paola Brambilla
Bibliografia – Intelligenza Artificiale in Odontoiatria. Stato dell’arte - Ultima modifica: 2020-06-09T11:55:30+02:00 da Paola Brambilla

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