评估ChatGPT的适应性:一个有能力和有效的皮肤科医生?
Chengxiang Lian1, Xin Yuan2, Santosh Chokkakula3
1Department of Dermatology and Venereology, The First Affiliated Hospital of Guang-xi Medical University, Nanning, 530021, China.
Heliyon
|September 25, 2024
概括
聊天GPT 4.0和3.5对了解亚型皮肤炎 (AD) 是有前途的,但在诊断自身免疫性水性皮肤疾病 (AIBD) 方面存在困难. 人工智能在临床皮肤病学中需要进一步开发.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能语言模型的诊断和管理能力,如ChatGPT 3.5和4.0对亚托皮炎 (AD) 和自身免疫性水性皮肤疾病 (AIBD) 需要进行调查.
- 本研究评估了ChatGPT关于AD和AIBD的理解,治疗和病例特定诊断的反应的准确性.
研究的目的:
- 评估ChatGPT 3.5和4.0在提供信息和诊断皮肤病的准确性和有效性.
- 将ChatGPT模型与皮肤病学人类临床专业人员的性能进行比较.
主要方法:
- 五位皮肤科医生评估了50个ChatGPT产生的反应.
- 对三组临床专业人员进行ChatGPT 3.5和4.0疗效的比较分析.
- 对ChatGPT对自身免疫性水泡性皮肤疾病 (AIBD) 的诊断能力的具体评估.
主要成果:
- 两种ChatGPT版本都表现出在生成有关亚托皮性皮肤炎 (AD) 的基于证据的信息方面的能力.
- 聊天GPT 4.0的表现优于聊天GPT 3.5,但没有超过高级医疗专业人员.
- 无论是ChatGPT 3.5还是4.0都没有准确地诊断出自身免疫性水泡性皮肤疾病 (AIBD) 的特定病例.
结论:
- 聊天GPT 3.5和4.0对于一般的亚托皮性皮肤炎调查是充足的,但对于诊断自身免疫性水泡性皮肤疾病是不够的.
- 人工智能语言模型需要取得重大进展,才能在专业皮肤病学实践中实现充分的效用.
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