Development and Comparative Evaluation of a Reinstructed GPT‐4o Model Specialized in Periodontology

IF 5.8 1区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Journal of Clinical Periodontology Pub Date : 2024-12-26 DOI:10.1111/jcpe.14101
Francesco Fanelli, Muhammad Saleh, Pasquale Santamaria, Khrystyna Zhurakivska, Luigi Nibali, Giuseppe Troiano
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Abstract

BackgroundArtificial intelligence (AI) has the potential to enhance healthcare practices, including periodontology, by improving diagnostics, treatment planning and patient care. This study introduces ‘PerioGPT’, a specialized AI model designed to provide up‐to‐date periodontal knowledge using GPT‐4o and a novel retrieval‐augmented generation (RAG) system.MethodsPerioGPT was evaluated in two phases. First, its performance was compared against those of five other chatbots using 50 periodontal questions from specialists, followed by a validation with 71 questions from the 2023–2024 ‘In‐Service Examination’ of the American Academy of Periodontology (AAP). The second phase focused on assessing PerioGPT's generative capacity, specifically its ability to create complex and accurate periodontal questions.ResultsPerioGPT outperformed other chatbots, achieving a higher accuracy rate (81.16%) and generating more complex and precise questions with a mean complexity score of 3.81 ± 0.965 and an accuracy score of 4.35 ± 0.898. These results demonstrate PerioGPT's potential as a leading tool for creating reliable clinical queries in periodontology.ConclusionsThis study underscores the transformative potential of AI in periodontology, illustrating that specialized models can offer significant advantages over general language models for both educational and clinical applications. The findings highlight that tailoring AI technologies to specific medical fields may improve performance and relevance.
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牙周病专业GPT - 40模型的开发和比较评价
人工智能(AI)有潜力通过改进诊断、治疗计划和患者护理来加强包括牙周病在内的医疗保健实践。本研究介绍了“PerioGPT”,这是一种专门的人工智能模型,旨在使用GPT - 40和一种新的检索增强生成(RAG)系统提供最新的牙周知识。方法对speriogpt进行两期评价。首先,使用来自专家的50个牙周问题与其他五个聊天机器人的表现进行比较,然后使用美国牙周病学会(AAP) 2023-2024年“服务考试”中的71个问题进行验证。第二阶段侧重于评估PerioGPT的生成能力,特别是其创建复杂而准确的牙周问题的能力。结果speriogpt比其他聊天机器人准确率更高(81.16%),生成的问题更复杂、更精确,平均复杂性得分为3.81±0.965,准确率得分为4.35±0.898。这些结果证明了PerioGPT作为创建可靠的牙周病临床查询的领先工具的潜力。本研究强调了人工智能在牙周病学中的变革潜力,说明在教育和临床应用中,专业模型比一般语言模型具有显著的优势。研究结果强调,针对特定医疗领域定制人工智能技术可能会提高性能和相关性。
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来源期刊
Journal of Clinical Periodontology
Journal of Clinical Periodontology 医学-牙科与口腔外科
CiteScore
13.30
自引率
10.40%
发文量
175
审稿时长
3-8 weeks
期刊介绍: Journal of Clinical Periodontology was founded by the British, Dutch, French, German, Scandinavian, and Swiss Societies of Periodontology. The aim of the Journal of Clinical Periodontology is to provide the platform for exchange of scientific and clinical progress in the field of Periodontology and allied disciplines, and to do so at the highest possible level. The Journal also aims to facilitate the application of new scientific knowledge to the daily practice of the concerned disciplines and addresses both practicing clinicians and academics. The Journal is the official publication of the European Federation of Periodontology but wishes to retain its international scope. The Journal publishes original contributions of high scientific merit in the fields of periodontology and implant dentistry. Its scope encompasses the physiology and pathology of the periodontium, the tissue integration of dental implants, the biology and the modulation of periodontal and alveolar bone healing and regeneration, diagnosis, epidemiology, prevention and therapy of periodontal disease, the clinical aspects of tooth replacement with dental implants, and the comprehensive rehabilitation of the periodontal patient. Review articles by experts on new developments in basic and applied periodontal science and associated dental disciplines, advances in periodontal or implant techniques and procedures, and case reports which illustrate important new information are also welcome.
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