Derleme
BibTex RIS Kaynak Göster

Yapay Zeka Uygulamalarının Tıp Bilimleri ve Diş Hekimliğinde Yerinin Değerlendirilmesi

Yıl 2024, Cilt: 5 Sayı: 1, 24 - 31, 05.07.2024

Öz

Öğrenme, problem çözme gibi insana ait zihinsel işlemler olarak da değerlendirilen zekânın geliştirilmeye ihtiyacı vardır. Geliştirilmesi için cihazların kullanılması makine zekâsı düşüncesini getirmekle birlikte yapay zekâ (YZ) kavramının önü açılmıştır. YZ, insan zekâsını taklit etmekle kalmayıp düşünce ve tepkileri stimule etme kapasitesine sahiptir ve kendi kendine öğrenme yeteneği vardır. YZ dahilinde felsefe, matematik, oyun, müzik psikoloji alanlarıyla birlikte sağlık bilimlerinde de etkisi görülmektedir. Günümüzde tıp bilimleri ve diş hekimliğinde, hastaların daha önce kaybettikleri fonksiyonları geri kazandıran tedavilerde el işçiliği, beceri ve tecrübe bazen yeterli olmamakta, hasta gereksinimleri tamamen karşılanamamaktadır. Buna ek olarak milimetrik hesap gerektiren bunun gibi değerlendirmeler, tüberkül temasları ve ayarlamalar bazen gözden kaçabilmektedir. Bu sebeple güncel tedavi prosedürlerinde bilgisayarlar, programlar ve şüphesiz YZ da yerini almıştır

Etik Beyan

Bu çalışmanın, özgün bir çalışma olduğunu; çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığımı; bu çalışma kapsamında elde edilmeyen tüm veri ve bilgiler için kaynak gösterdiğimi ve bu kaynaklara kaynakçada yer verdiğimi; kullanılan verilerde herhangi bir değişiklik yapmadığımı, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet ettiğimi beyan ederim

Kaynakça

  • 1. Strong AI. Applications of artificial intelligence & associated technologies. Science. 2016;5(6): 64-67.
  • 2. Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:36-40.
  • 3. J He, SL Baxter, J Xu, J Xu, X Zhou, K Zhang. The practical implementation of artificial intelligence technologies in medicine. Nature Medicine. 2019;25(1):30-6.
  • 4. Leavy S. Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning. In: Proceedings of the 1st international workshop on gender equality in software engineering, 2018: p 14-6.
  • 5. Tandon, D, Rajawat J, Banerjee M. Present and future of artificial intelligence in dentistry. JOBCR. 2020;10(4):391-6.
  • 6. Uçuk MK. Yapay Zeka Uygulamalarının Acil Diş Tedavilerinde Uygulanabilirliğinin Değerlendirilmesi-Bir Pilot Çalışma. ADO Klinik Bilimler Derg. 2024;13(1):349. 7. Agrawal P, Nikhade P. Artificial intelligence in dentistry: past, present, and future. Cureus. 2022;14(7):e27405.
  • 8. Keser G. Namdar Pekiner F. Artificial Intelligence Applications In Dentistry. In: Enes Karaman (editor). Current Researches in Health Sciences-I. Özgür Publications. 2023:p51-67. 9. Pea RD. Integrating human and computer intelligence. New Dir Child Adolesc Dev. 1985;(28):75-96.
  • 10. Beam AL, Drazen JM, Kohane IS, Leong TY, Manrai AK, RubinEJ . Artificial intelligence in medicine. New England JMed. 2023;388(13):1220-1.
  • 11. Birkfellner W. et al. A head-mounted operating binocular for augmented reality visualization in medicine-design and initial evaluation. IEEE Transactions on Med. Imaging. 2002;21(8):991-7.
  • 12. Demirhan A, Kılıç YA, İnan G. Tıpta yapay zeka uygulamaları. Yoğun Bakım Derg. 2010;9(1):31-41.
  • 13. Ciklacandir S, Isler Y. Priority assessment of procuring medical equipment in Turkish hospitals using input-weighted fuzzy logic architecture. Expert Systems with Applications. 2023;213:119195.
  • 14. Torres A, Nieto JJ. Fuzzy logic in medicine and bioinformatics. BioMed Research International. 2006;91908:1-7.
  • 15. Chaddad A et al. Explainable, domain-adaptive, and federated artificial intelligence in medicine. IEEE/CAA Journal of Automatica Sinica, 2023;10(4):859-76.
  • 16. Chaurasia A, Namachivayam A, Koca-Ünsal RB, Lee JH. Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis. JPIS. 2024;54(1):3-12.
  • 17. Bouali R, Mahboub O, Lazaar M. Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and Challenges. Procedia Computer Science, 2024;231:221-228.
  • 18. Ramesh AN, Kambhampati C, Monson JR, Drew PJ. Artificial intelligence in medicine. Ann R Coll Surg Engl. 2004;86(5):334-38.
  • 19. Waisberg E et al. GPT-4: a new era of artificial intelligence in medicine. Ir J Med Sci. 2023;192(6):3197-200.
  • 20. Ewers R et al. Basic research and 12 years of clinical experience in computer-assisted navigation technology: a review. IJOMS. 2005;34(1):1-8.
  • 21. Aminoshariae A, Kulild, J, Nagendrababu V. Artificial intelligence in endodontics: current applications and future directions. JOE. 2021;47(9):1352-57.
  • 22. Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives. Quintessence Int. 2020;51(3):248-57.
  • 23. Bush J. How AI is taking the scut work out of health care. Harvard Bus Rev. 2018/3
  • 24. Mörch CM et al. Artificial intelligence and ethics in dentistry: a scoping review. J Dent Res. 2021;100(13):1452-60.
  • 25. Kalappanavar A, Sneha S, Annigeri RG. Artificial intelligence: A dentist's perspective. J. med. radiol. pathol. surg. 2018;5(2):2-4.
  • 26. Uçuk MK. Reflections of Artificial Intelligence on Dentistry. 4th International Health Sciences and Innovation Congressbook, USA. Liberty Publications, 2021: p 599.
  • 27. Khanagar SB et al. Developments, application, and performance of artificial intelligence in dentistry–A systematic review. J Dent Sci. 2021;16(1):508-522.
  • 28. Kositbowornchai S, Plermkamon S, Tangkosol T. Performance of an artificial neural network for vertical root fracture detection: an ex vivo study. Dent Traumatol. 2013;29(2): 151-5.
  • 29. Rawtiya M, Verma K, Sethi P, Loomba, K. Application of robotics in dentistry. Indian J Dent Adv. 2014;6(4): 1700-6.
  • 30. Ceylan G, Emir F. Current and Promising Approaches in Aesthetic and Prosthetic Artificial Intelligence Applications.. Diş Hekimliğinde Yapay Zekâ Uygulamaları. 1. Baskı. Ankara: Türkiye Klinikleri. 2023. sayfa 38-44.
  • 31. Uçuk MK. Computer Assisted Restorations and Evaluation of Their Use in Dentistry.. İZÜFBED. 2024;6(1):1-4.
  • 32. Holzinger A, Langs G, Denk H, Zatloukal K, Müller H. Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2019;9(4):e1312.
  • 33. Pareek M, Kaushik B. Artificial intelligence in prosthodontics: a scoping review on current applications and future possibilities. Int J Adv Med. 2022;(9):367.
  • 34. Tekin A, Ateş HF. The Present of Artificial Intelligence and Its Future in Dentistry. In: Ateş HF, Cesur Aydın K (editors). Artificial Intelligence Applications in Dentistry 1st edition. . Ankara: Turkiye Klinikleri Oral and Maxillofacial Radiology-Special Topics. 2023;9(1):1-8.
  • 35. Uçuk MK. Assesment of endodontic treatment administering dentists' views on their professional experience, complications and malpractise: a survey study. Doctoral dissertation. Bezmialem Vakif University. 2023:51.

Evaluation of the Place of Artificial Intelligence Applications in Medical Sciences and Dentistry

Yıl 2024, Cilt: 5 Sayı: 1, 24 - 31, 05.07.2024

Öz

Intelligence, which is also considered as human mental processes such as learning, problem solving, needs to be developed. The use of devices for its development introduced the idea of machine intelligence and that has paved the way for the concept of artificial intelligence (AI). AI has the capacity not only to imitate human intelligence, but also to stimulate thoughts and reactions, and it has the ability to learn on its own. Within the scope of AI, philosophy, mathematics, gaming, music, psychology as well as the fields of health sciences are also seen to have an impact. Nowadays, in health sciences and dentistry, manual labor, skills and experience are sometimes cannot be sufficient in the treatments that restore the functions that patients previously lost, and patient requirements cannot be fully met. In addition, assessments such as tubercle contacts and adjustments that require millimeter calculations can sometimes be get oversight. For this reason, computers, programs and undoubtedly AI have also taken their place in current treatment procedures

Kaynakça

  • 1. Strong AI. Applications of artificial intelligence & associated technologies. Science. 2016;5(6): 64-67.
  • 2. Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69:36-40.
  • 3. J He, SL Baxter, J Xu, J Xu, X Zhou, K Zhang. The practical implementation of artificial intelligence technologies in medicine. Nature Medicine. 2019;25(1):30-6.
  • 4. Leavy S. Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning. In: Proceedings of the 1st international workshop on gender equality in software engineering, 2018: p 14-6.
  • 5. Tandon, D, Rajawat J, Banerjee M. Present and future of artificial intelligence in dentistry. JOBCR. 2020;10(4):391-6.
  • 6. Uçuk MK. Yapay Zeka Uygulamalarının Acil Diş Tedavilerinde Uygulanabilirliğinin Değerlendirilmesi-Bir Pilot Çalışma. ADO Klinik Bilimler Derg. 2024;13(1):349. 7. Agrawal P, Nikhade P. Artificial intelligence in dentistry: past, present, and future. Cureus. 2022;14(7):e27405.
  • 8. Keser G. Namdar Pekiner F. Artificial Intelligence Applications In Dentistry. In: Enes Karaman (editor). Current Researches in Health Sciences-I. Özgür Publications. 2023:p51-67. 9. Pea RD. Integrating human and computer intelligence. New Dir Child Adolesc Dev. 1985;(28):75-96.
  • 10. Beam AL, Drazen JM, Kohane IS, Leong TY, Manrai AK, RubinEJ . Artificial intelligence in medicine. New England JMed. 2023;388(13):1220-1.
  • 11. Birkfellner W. et al. A head-mounted operating binocular for augmented reality visualization in medicine-design and initial evaluation. IEEE Transactions on Med. Imaging. 2002;21(8):991-7.
  • 12. Demirhan A, Kılıç YA, İnan G. Tıpta yapay zeka uygulamaları. Yoğun Bakım Derg. 2010;9(1):31-41.
  • 13. Ciklacandir S, Isler Y. Priority assessment of procuring medical equipment in Turkish hospitals using input-weighted fuzzy logic architecture. Expert Systems with Applications. 2023;213:119195.
  • 14. Torres A, Nieto JJ. Fuzzy logic in medicine and bioinformatics. BioMed Research International. 2006;91908:1-7.
  • 15. Chaddad A et al. Explainable, domain-adaptive, and federated artificial intelligence in medicine. IEEE/CAA Journal of Automatica Sinica, 2023;10(4):859-76.
  • 16. Chaurasia A, Namachivayam A, Koca-Ünsal RB, Lee JH. Deep-learning performance in identifying and classifying dental implant systems from dental imaging: a systematic review and meta-analysis. JPIS. 2024;54(1):3-12.
  • 17. Bouali R, Mahboub O, Lazaar M. Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and Challenges. Procedia Computer Science, 2024;231:221-228.
  • 18. Ramesh AN, Kambhampati C, Monson JR, Drew PJ. Artificial intelligence in medicine. Ann R Coll Surg Engl. 2004;86(5):334-38.
  • 19. Waisberg E et al. GPT-4: a new era of artificial intelligence in medicine. Ir J Med Sci. 2023;192(6):3197-200.
  • 20. Ewers R et al. Basic research and 12 years of clinical experience in computer-assisted navigation technology: a review. IJOMS. 2005;34(1):1-8.
  • 21. Aminoshariae A, Kulild, J, Nagendrababu V. Artificial intelligence in endodontics: current applications and future directions. JOE. 2021;47(9):1352-57.
  • 22. Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives. Quintessence Int. 2020;51(3):248-57.
  • 23. Bush J. How AI is taking the scut work out of health care. Harvard Bus Rev. 2018/3
  • 24. Mörch CM et al. Artificial intelligence and ethics in dentistry: a scoping review. J Dent Res. 2021;100(13):1452-60.
  • 25. Kalappanavar A, Sneha S, Annigeri RG. Artificial intelligence: A dentist's perspective. J. med. radiol. pathol. surg. 2018;5(2):2-4.
  • 26. Uçuk MK. Reflections of Artificial Intelligence on Dentistry. 4th International Health Sciences and Innovation Congressbook, USA. Liberty Publications, 2021: p 599.
  • 27. Khanagar SB et al. Developments, application, and performance of artificial intelligence in dentistry–A systematic review. J Dent Sci. 2021;16(1):508-522.
  • 28. Kositbowornchai S, Plermkamon S, Tangkosol T. Performance of an artificial neural network for vertical root fracture detection: an ex vivo study. Dent Traumatol. 2013;29(2): 151-5.
  • 29. Rawtiya M, Verma K, Sethi P, Loomba, K. Application of robotics in dentistry. Indian J Dent Adv. 2014;6(4): 1700-6.
  • 30. Ceylan G, Emir F. Current and Promising Approaches in Aesthetic and Prosthetic Artificial Intelligence Applications.. Diş Hekimliğinde Yapay Zekâ Uygulamaları. 1. Baskı. Ankara: Türkiye Klinikleri. 2023. sayfa 38-44.
  • 31. Uçuk MK. Computer Assisted Restorations and Evaluation of Their Use in Dentistry.. İZÜFBED. 2024;6(1):1-4.
  • 32. Holzinger A, Langs G, Denk H, Zatloukal K, Müller H. Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2019;9(4):e1312.
  • 33. Pareek M, Kaushik B. Artificial intelligence in prosthodontics: a scoping review on current applications and future possibilities. Int J Adv Med. 2022;(9):367.
  • 34. Tekin A, Ateş HF. The Present of Artificial Intelligence and Its Future in Dentistry. In: Ateş HF, Cesur Aydın K (editors). Artificial Intelligence Applications in Dentistry 1st edition. . Ankara: Turkiye Klinikleri Oral and Maxillofacial Radiology-Special Topics. 2023;9(1):1-8.
  • 35. Uçuk MK. Assesment of endodontic treatment administering dentists' views on their professional experience, complications and malpractise: a survey study. Doctoral dissertation. Bezmialem Vakif University. 2023:51.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Diş Malzemeleri ve Ekipmanı, Diş Hekimliği (Diğer)
Bölüm Derleme
Yazarlar

Mehmet Kutluhan Uçuk 0000-0001-6719-9286

Yayımlanma Tarihi 5 Temmuz 2024
Gönderilme Tarihi 28 Mart 2024
Kabul Tarihi 24 Mayıs 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 5 Sayı: 1

Kaynak Göster

APA Uçuk, M. K. (2024). Evaluation of the Place of Artificial Intelligence Applications in Medical Sciences and Dentistry. Van Diş Hekimliği Dergisi, 5(1), 24-31.