在唾液腺疾病中,ChatGPT模型的比较诊断准确性:基于多式联络的维涅特评估
Asmaa Abou-Bakr1, Ahmed Adel Eissa2, Basma Alshikh3
1Oral Medicine and Periodontology, Faculty of Dentistry, Galala University, Suez, Egypt.
概括
这项研究表明,ChatGPT-4o可以为唾液腺疾病提供专家级别的差异诊断,作为口腔医学中一个有希望的支持工具. 需要进一步的研究来确认其临床作用.
科学领域:
- 医学中的人工智能
- 口服医药和诊断的使用
- 医疗保健中的自然语言处理.
背景情况:
- 在专业医疗领域评估高级AI如ChatGPT-4o的诊断能力至关重要.
- 唾液腺疾病带来了复杂的诊断挑战,需要专家知识.
研究的目的:
- 评估ChatGPT-4o对唾液腺疾病的诊断准确性和一致性.
- 将AI性能与经验丰富的口腔医学专家进行比较.
主要方法:
- 八十个匿名的唾液腺病例由ChatGPT-4o和三个口腔医学专家审查.
- 产生了差异诊断 (TOP-5),精度测量在TOP-1,TOP-3和TOP-5.
- 使用科恩的卡帕评估了协议,并根据腺体类型和成像进行了子组分析.
主要成果:
- 聊天GPT-4o在Top-3和Top-5获得了100%的灵敏度,在Top-1获得了86.67%的灵敏度.
- 虽然专家在Top-5表现更好 (77.5%对67.5%),但ChatGPT-4o在Top-1表现更好 (50.0%对37.5%).
- 聊天GPT-4o在成像模式中表现一致,腺体类型影响Top-1准确度.
结论:
- 聊天GPT-4o显示了作为口腔医学差异诊断的可靠支持工具的潜力.
- 人工智能的表现表明,它可以提供专家级别的差异诊断,尽管临床集成需要进一步验证.
- 腺体类型成为影响ChatGPT-4o诊断准确性的重要因素.
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