EVALUATING THE SUCCESS OF ARTIFICIAL INTELLIGENCE CHATBOTS IN ANSWERING COMMON ORTHODONTIC QUESTIONS

Sercan Taşkın; Mine Geçgelen Cesur; Mustafa Uzun

Makale detayları

EVALUATING THE SUCCESS OF ARTIFICIAL INTELLIGENCE CHATBOTS IN ANSWERING COMMON ORTHODONTIC QUESTIONS

Yazarlar:

Sercan Taşkın | Mine Geçgelen Cesur | Mustafa Uzun

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Orthodontics and Dentofacial Orthopaedics

Dergi:

Medical Journal of Süleyman Demirel University Vol.30 Issue 4, pp.680-686

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307510

pISSN:

1300-7416

Anahtar kelimeler:

Özet:

 Material and Method The 15 questions commonly asked by patients undergoing orthodontic treatment were searched from the internet database and asked to ChatGPT3.5, ChatGPT4, BING, and ZekAI applications on May 15, 2023. The answers given by the applications were scored by two orthodontists, two orthodontic residents, and two dentists on a Likert Scale from 1 most adequate to 5 most inadequate. Results In the study, two orthodontists MGC, MU and two orthodontic research assistants AAA, ST have assigned significantly lower scores to the ChatGPT4 application compared to the BING application p0.001. When the success scores assigned by the participants to the applications were evaluated, it was found that the BING application received significantly lower success scores from one of the dentists ÇA compared to the orthodontic research assistants AAA, ST p0.001. One of the dentists in the study ÇA, on the other hand, evaluated the ZekAI application as significantly more successful compared to the orthodontist MU, the other dentist MMU, and the orthodontic research assistant ST p0.001. When all artificial intelligence chatbots were compared among themselves, it was found that ChatGPT4 provided the most desired responses p0.001. Conclusion This research has substantiated, based on the evaluation by participants, that the ChatGPT4 application represents the most reliable solution for assisting clinicians in addressing prevalent orthodontic queries, surpassing the ChatGPT3.5, BING, and ZekAI applications in this regard.

 Material and Method The 15 questions commonly asked by patients undergoing orthodontic treatment were searched from the internet database and asked to ChatGPT3.5, ChatGPT4, BING, and ZekAI applications on May 15, 2023. The answers given by the applications were scored by two orthodontists, two orthodontic residents, and two dentists on a Likert Scale from 1 most adequate to 5 most inadequate. Results In the study, two orthodontists MGC, MU and two orthodontic research assistants AAA, ST have assigned significantly lower scores to the ChatGPT4 application compared to the BING application p0.001. When the success scores assigned by the participants to the applications were evaluated, it was found that the BING application received significantly lower success scores from one of the dentists ÇA compared to the orthodontic research assistants AAA, ST p0.001. One of the dentists in the study ÇA, on the other hand, evaluated the ZekAI application as significantly more successful compared to the orthodontist MU, the other dentist MMU, and the orthodontic research assistant ST p0.001. When all artificial intelligence chatbots were compared among themselves, it was found that ChatGPT4 provided the most desired responses p0.001. Conclusion This research has substantiated, based on the evaluation by participants, that the ChatGPT4 application represents the most reliable solution for assisting clinicians in addressing prevalent orthodontic queries, surpassing the ChatGPT3.5, BING, and ZekAI applications in this regard.

 Material and Method The 15 questions commonly asked by patients undergoing orthodontic treatment were searched from the internet database and asked to ChatGPT3.5, ChatGPT4, BING, and ZekAI applications on May 15, 2023. The answers given by the applications were scored by two orthodontists, two orthodontic residents, and two dentists on a Likert Scale from 1 most adequate to 5 most inadequate. Results In the study, two orthodontists MGC, MU and two orthodontic research assistants AAA, ST have assigned significantly lower scores to the ChatGPT4 application compared to the BING application p0.001. When the success scores assigned by the participants to the applications were evaluated, it was found that the BING application received significantly lower success scores from one of the dentists ÇA compared to the orthodontic research assistants AAA, ST p0.001. One of the dentists in the study ÇA, on the other hand, evaluated the ZekAI application as significantly more successful compared to the orthodontist MU, the other dentist MMU, and the orthodontic research assistant ST p0.001. When all artificial intelligence chatbots were compared among themselves, it was found that ChatGPT4 provided the most desired responses p0.001. Conclusion This research has substantiated, based on the evaluation by participants, that the ChatGPT4 application represents the most reliable solution for assisting clinicians in addressing prevalent orthodontic queries, surpassing the ChatGPT3.5, BING, and ZekAI applications in this regard.

 Amaç Bu çalışmada ortodontik tedavi gören hastaların ortodontistlerine yaygın olarak sordukları soruların yapay zekâ destekli sohbet robotları tarafından cevaplanma başarısının değerlendirilmesi amaçlanmıştır. Gereç ve Yöntem Ortodontik tedavi gören hastaların yaygın olarak sordukları 15 soru internet veri tabanından araştırılarak ChatGPT3.5, ChatGPT4, BING ve ZekAI uygulamalarına 15 Mayıs 2023te sorulmuştur. Uygulamaların verdikleri cevaplar iki ortodonti uzmanı, iki ortodonti araştırma görevlisi ve iki diş hekimi tarafından 1 en yeterliden 5 en yetersize kadar oluşturulan Likert Skalası ölçeğine göre puanlanmıştır. Bulgular İstatistiksel değerlendirmeler sonucunda çalışmada yer alan iki ortodonti uzmanı MGC, MU ve iki ortodonti asistanı AAA, ST ChatGPT4 uygulamasına BING uygulamasına göre istatistiksel olarak anlamlı derecede düşük puan vermiştir p0,001. Hekimlerin uygulamalara verdikleri başarı puanları değerlendirildiğinde, BING uygulamasının çalışmada yer alan diş hekimlerinden birinden ÇA aldığı başarı puanı ortodonti araştırma görevlilerine AAA, ST göre istatistiksel olarak anlamlı derecede düşük olmuştur p0,001. Çalışmada yer alan diş hekimlerinden biri ÇA ise ZekAI uygulamasını ortodonti uzmanı MU, diğer diş hekimi MMU ve ortodonti araştırma görevlisine ST göre istatistiksel olarak anlamlı derecede başarılı değerlendirmiştir p0,001. Tüm yapay zekâ sohbet robotları kendi aralarında kıyaslandığında ChatGPT4ün en istenilen cevapları verdiği bulunmuştur p0,001. Sonuç Bu çalışma, cevapları değerlendiren hekimlere göre ChatGPT4 uygulamasının ChatGPT3.5, BING ve ZekAI uygulamalarına göre yaygın ortodontik sorulara cevap vermede hekimlere yardımcı olabilecek en güvenilir uygulama olduğunu göstermiştir.

Makale detayları

EVALUATING THE SUCCESS OF ARTIFICIAL INTELLIGENCE CHATBOTS IN ANSWERING COMMON ORTHODONTIC QUESTIONS

Yazarlar:

Sercan Taşkın | Mine Geçgelen Cesur | Mustafa Uzun

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Orthodontics and Dentofacial Orthopaedics

Dergi:

Medical Journal of Süleyman Demirel University Vol.30 Issue 4, pp.680-686

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307510

pISSN:

1300-7416

Artificial intelligence in orthodontics

chatbots in orthodontics

orthodontic patient educationOrtodontide hasta bilgilendirme

ortodontide yapay zekâ

yapay zekâ sohbet robotu

Sayı

Makale detayları

EVALUATING THE SUCCESS OF ARTIFICIAL INTELLIGENCE CHATBOTS IN ANSWERING COMMON ORTHODONTIC QUESTIONS

Yazarlar: Sercan Taşkın | Mine Geçgelen Cesur | Mustafa Uzun

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Orthodontics and Dentofacial Orthopaedics

Dergi: Medical Journal of Süleyman Demirel University Vol.30 Issue 4, pp.680-686

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001307510

pISSN: 1300-7416

Artificial intelligence in orthodontics

chatbots in orthodontics

orthodontic patient educationOrtodontide hasta bilgilendirme

ortodontide yapay zekâ

yapay zekâ sohbet robotu

Sayı

Yazarlar:

Sercan Taşkın | Mine Geçgelen Cesur | Mustafa Uzun

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Orthodontics and Dentofacial Orthopaedics

Dergi:

Medical Journal of Süleyman Demirel University Vol.30 Issue 4, pp.680-686

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001307510

pISSN:

1300-7416