How reliable is the artificial intelligence product large language model ChatGPT in orthodontics?

被引:3
|
作者
Demirsoy, Kevser Kurt [1 ]
Buyuk, Suleyman Kutalmis [2 ]
Bicer, Tayyip [3 ]
机构
[1] Nevsehir Haci Bektas Veli Univ, Fac Dent, Dept Orthodont, Nevsehir, Turkiye
[2] Ordu Univ, Dept Orthodont, Fac Dent, Ordu, Turkiye
[3] Ordu Univ, Dept Orthodont, Fac Dent, Ordu, Turkiye
关键词
ChatGPT; Clear aligners; Lingual orthodontics; Artificial intelligence; Patient information; INFORMATION; QUALITY;
D O I
10.2319/031224-207.1
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Objectives: To evaluate the reliability of information produced by the artificial intelligence-based program ChatGPT in terms of accuracy and relevance, as assessed by orthodontists, dental students, and individuals seeking orthodontic treatment. Materials and Methods: Frequently asked and curious questions in four basic areas related to orthodontics were prepared and asked in ChatGPT (Version 4.0), and answers were evaluated by three different groups (senior dental students, individuals seeking orthodontic treatment, orthodontists). Questions asked in these basic areas of orthodontics were about: clear aligners (CA), lingual orthodontics (LO), esthetic braces (EB), and temporomandibular disorders (TMD). The answers were evaluated by the Global Quality Scale (GQS) and Quality Criteria for Consumer Health Information (DISCERN) scale. Results: The total mean DISCERN score for answers on CA for students was 51.7 +/- 9.38, for patients was 57.2 +/- 10.73 and, for orthodontists was 47.4 +/- 4.78 (P = .001). Comparison of GQS scores for LO among groups: students (3.53 +/- 0.78), patients (4.40 +/- 0.72), and orthodontists (3.63 +/- 0.72) (P < .001). Intergroup comparison of ChatGPT evaluations about TMD was examined in terms of the DISCERN scale, with the highest value given in the patients group (57.83 +/- 11.47) and lowest value in the orthodontist group (45.90 +/- 11.84). When information quality evaluation about EB was examined, it GQS scores were >3 in all three groups (students: 3.50 +/- 0.78; patients: 4.17 +/- 0.87; orthodontists: 3.50 +/- 0.82). Conclusions: ChatGPT has significant potential in terms of usability for patient information and education in the field of orthodontics if it is developed and necessary updates are made.
引用
收藏
页码:602 / 607
页数:6
相关论文
共 50 条
  • [31] Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care
    Nia, Masoumeh Farhadi
    Ahmadi, Mohsen
    Irankhah, Elyas
    FRONTIERS IN DENTAL MEDICINE, 2025, 5
  • [32] A LARGE LANGUAGE MODEL ARTIFICIAL INTELLIGENCE FOR PATIENT QUERIES IN ATOPIC DERMATITIS
    Sulejmani, Pranvera
    Negris, Olivia
    Aoki, Valeria
    Chu, Chia-Yu
    Eichenfield, Lawrence
    Misery, Laurent
    Mosca, Ana
    Orfali, Raquel Leao
    Aroman, Marketa Saint
    Stalder, Jean-Francois
    Trzeciak, Magdalena
    Wollenberg, Andreas
    Lio, Peter
    ACTA DERMATO-VENEREOLOGICA, 2023, 103 : 21 - 21
  • [33] Exploring large language model for next generation of artificial intelligence in ophthalmology
    Jin, Kai
    Yuan, Lu
    Wu, Hongkang
    Grzybowski, Andrzej
    Ye, Juan
    FRONTIERS IN MEDICINE, 2023, 10
  • [34] A large language model artificial intelligence for patient queries in atopic dermatitis
    Sulejmani, Pranvera
    Negris, Olivia
    Aoki, Valeria
    Chu, Chia-Yu
    Eichenfield, Lawrence
    Misery, Laurent
    Mosca, Ana
    Orfali, Raquel Leao
    Aroman, Marketa Saint
    Stalder, Jean-Francois
    Trzeciak, Magdalena
    Wollenberg, Andreas
    Lio, Peter
    JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY, 2024, 38 (06) : e531 - e535
  • [35] ChatGPT: Transcending Language Limitations in Scientific Research Using Artificial Intelligence
    Osama, Muhammad
    Afridi, Sabah
    Maaz, Muhammad
    JCPSP-JOURNAL OF THE COLLEGE OF PHYSICIANS AND SURGEONS PAKISTAN, 2023, 33 (10): : 1198 - 1200
  • [36] Perceptions of Artificial Intelligence and ChatGPT by Speech-Language Pathologists and Students
    Austin, Julianna
    Benas, Keith
    Caicedo, Sara
    Imiolek, Emily
    Piekutowski, Anna
    Ghanim, Iyad
    AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY, 2025, 34 (01) : 174 - 200
  • [37] Large Language Models and Artificial Intelligence: A Primer for Plastic Surgeons on the Demonstrated and Potential Applications, Promises, and Limitations of ChatGPT
    Abi-Rafeh, Jad
    Xu, Hong Hao
    Kazan, Roy
    Tevlin, Ruth
    Furnas, Heather
    AESTHETIC SURGERY JOURNAL, 2024, 44 (03) : 329 - 343
  • [38] DEVELOPMENT OF THE CHATGPT, GENERATIVE ARTIFICIAL INTELLIGENCE AND NATURAL LARGE LANGUAGE MODELS FOR ACCOUNTABLE REPORTING AND USE (CANGARU) GUIDELINES
    Cacciamani, Giovanni E.
    Eppler, Michael B.
    Ganjavi, Conner
    Pekan, Asli
    Biedermann, Brett
    Collins, Gary S.
    Gill, Inderbir S.
    arXiv, 2023,
  • [39] Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions
    Ong, Jasmine Chiat Ling
    Seng, Benjamin Jun Jie
    Law, Jeren Zheng Feng
    Low, Lian Leng
    Kwa, Andrea Lay Hoon
    Giacomini, Kathleen M.
    Ting, Daniel Shu Wei
    CELL REPORTS MEDICINE, 2024, 5 (01)
  • [40] Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
    Kantor, Jonathan
    JAAD INTERNATIONAL, 2024, 14 : 22 - 23