人工智能在化脓性扁桃体炎中的应用:专家评估面向患者的信息。

IF 1.9 4区 医学 Q3 DERMATOLOGY
Clinical, Cosmetic and Investigational Dermatology Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI:10.2147/CCID.S478309
Anne-Cécile Ezanno, Anne-Claire Fougerousse, Christelle Pruvost-Balland, François Maccari, Charlotte Fite
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引用次数: 0

摘要

目的:本研究调查了人工智能(AI)聊天机器人 ChatGPT 和 Bard 在提供有关化脓性扁桃体炎(HS)信息方面的准确性,旨在探索它们通过深入了解症状帮助 HS 患者的潜力,从而可能缩短诊断和治疗的时间差距:利用在 HS 患者协会帮助下制定的问题,对 ChatGPT 和 Bard 进行了评估。结果:ChatGPT 的回答被认为是最准确的:结果:在 86% 的病例中,ChatGPT 的回答被认为是准确的,明显优于 Bard,后者的准确率仅为 14%。尽管 ChatGPT 在提供一系列 HS 相关问题的相关信息方面具有普遍功效,但两个人工智能系统在提供适当的治疗建议方面都存在局限性。这项研究发现了两种人工智能在性能上的显著差异,强调了改进人工智能驱动的医疗建议的必要性,尤其是在治疗方案方面:本研究强调了人工智能聊天机器人(尤其是 ChatGPT)在支持 HS 患者方面的潜力,它能提高患者对症状的理解,并有可能缩短诊断和治疗时间。人工智能聊天机器人虽然前景广阔,但还不能取代专业的医疗诊断和治疗,这表明提高人工智能能力以传播更准确、更可靠的医疗信息的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI in Hidradenitis Suppurativa: Expert Evaluation of Patient-Facing Information.

Purpose: This study investigates the accuracy of Artificial Intelligence (AI) chatbots, ChatGPT and Bard, in providing information on Hidradenitis Suppurativa (HS), aiming to explore their potential in assisting HS patients by offering insights into symptoms, thus possibly reducing the diagnostic and treatment time gap.

Patients and methods: Using questions formulated with the help of HS patient associations, both ChatGPT and Bard were assessed. Responses to these questions were evaluated by 18 hS experts.

Results: ChatGPT's responses were considered accurate in 86% of cases, significantly outperforming Bard, which only achieved 14% accuracy. Despite the general efficacy of ChatGPT in providing relevant information across a range of HS-related queries, both AI systems showed limitations in offering adequate advice on treatments. The study identifies a significant difference in the performance of the two AIs, emphasizing the need for improvement in AI-driven medical advice, particularly regarding treatment options.

Conclusion: The study highlights the potential of AI chatbots, particularly ChatGPT, in supporting HS patients by improving symptom understanding and potentially reducing the time to diagnosis and treatment. AI chatbots, while promising, cannot yet substitute for professional medical diagnosis and treatment, indicating the importance of enhancing AI capabilities for more accurate and reliable medical information dissemination.

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来源期刊
CiteScore
2.80
自引率
4.30%
发文量
353
审稿时长
16 weeks
期刊介绍: Clinical, Cosmetic and Investigational Dermatology is an international, peer-reviewed, open access journal that focuses on the latest clinical and experimental research in all aspects of skin disease and cosmetic interventions. Normal and pathological processes in skin development and aging, their modification and treatment, as well as basic research into histology of dermal and dermal structures that provide clinical insights and potential treatment options are key topics for the journal. Patient satisfaction, preference, quality of life, compliance, persistence and their role in developing new management options to optimize outcomes for target conditions constitute major areas of interest. The journal is characterized by the rapid reporting of clinical studies, reviews and original research in skin research and skin care. All areas of dermatology will be covered; contributions will be welcomed from all clinicians and basic science researchers globally.
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