Conversational AI Models in Periodontitis Classification

NCT05926999 | Completed

• 1 other identifier: NEUandChatCPT
• Study Type: observational
• Target: 62
• Locations: 1 country
• Sites: 1

Brief Summary

The goal of this observational study is to test periodontitis classification ability of ChatCPT. The main questions it aims to answer are: question 1: Could ChatCPT classify periodontitis? question 2: Is there a better result if ChatCPT is trained for perodontitis classification?

Conditions

Periodontitis

Keywords

classification; periodontitis; Artificial intelligence; Language processing; diagnosis; periodontal diseases

Outcome Measures

Primary Outcomes (1)

• Classficiation ability of ChatCPT

  The primary result will the comparison of results obtained from two different queries in the ChatCPT with the standardized diagnosis.

  1 month

Secondary Outcomes (1)

• Comparison of stage, grade and extent in ChatCPT's answers and standard diagnosis

  1 month

Other Outcomes (1)

• Determining which of the information used in determining the stage and grade is more effective in the agreement of stage and grade

  1 month

Eligibility Criteria

• Age: 18 Years - 65 Years
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Periodontitis

You may qualify if:

• The cases whose clinical, photographic, and radiological records are excellent quality and have good diagnostic sensitivity.

You may not qualify if:

• Acute periodontal lesions
• gingival diseases
• the presence of dental implants

Sponsors & Collaborators

• Necmettin Erbakan University: lead

Study Sites (1)

Zeynep Taştan Eroğlu

Konya, Turkey (Türkiye)

Location

Related Publications (5)

• Hamp SE, Nyman S, Lindhe J. Periodontal treatment of multirooted teeth. Results after 5 years. J Clin Periodontol. 1975 Aug;2(3):126-35. doi: 10.1111/j.1600-051x.1975.tb01734.x.

  PMID: 1058213 RESULT

• Miller PD Jr. A classification of marginal tissue recession. Int J Periodontics Restorative Dent. 1985;5(2):8-13. No abstract available.

  PMID: 3858267 RESULT

• Papapanou PN, Sanz M, Buduneli N, Dietrich T, Feres M, Fine DH, Flemmig TF, Garcia R, Giannobile WV, Graziani F, Greenwell H, Herrera D, Kao RT, Kebschull M, Kinane DF, Kirkwood KL, Kocher T, Kornman KS, Kumar PS, Loos BG, Machtei E, Meng H, Mombelli A, Needleman I, Offenbacher S, Seymour GJ, Teles R, Tonetti MS. Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Periodontol. 2018 Jun;89 Suppl 1:S173-S182. doi: 10.1002/JPER.17-0721.

  PMID: 29926951 RESULT

• Tonetti MS, Greenwell H, Kornman KS. Staging and grading of periodontitis: Framework and proposal of a new classification and case definition. J Periodontol. 2018 Jun;89 Suppl 1:S159-S172. doi: 10.1002/JPER.18-0006.

  PMID: 29926952 RESULT

• Tastan Eroglu Z, Babayigit O, Ozkan Sen D, Ucan Yarkac F. Performance of ChatGPT in classifying periodontitis according to the 2018 classification of periodontal diseases. Clin Oral Investig. 2024 Jun 29;28(7):407. doi: 10.1007/s00784-024-05799-9.

  PMID: 38951256 DERIVED

Related Links

• Brown T, Mann B, Ryder N, et al. Language models are few-shot learners. Advances in neural information processing systems 2020;33:1877-1901.

MeSH Terms

Conditions

Periodontitis; Disease; Periodontal Diseases

Condition Hierarchy (Ancestors)

Mouth Diseases; Stomatognathic Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Target Duration: 1 Month
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant professor

Study Record Dates

• First Submitted: June 6, 2023
• First Posted: July 3, 2023
• Study Start: June 25, 2023
• Primary Completion: July 20, 2023
• Study Completion: July 30, 2023
• Last Updated: August 15, 2023

Record last verified: 2023-08

Locations

TU (1)