Comparison of ChatGPT version 3.5 & 4 for utility in respiratory medicine education using clinical case scenarios

被引：3
作者：
Balasanjeevi, Gayathri
Surapaneni, Krishna Mohan [1 ,2 ,3 ]
机构：
[1] Panimalar Med Coll Hosp & Res Inst, Dept TB & Resp Dis, Chennai 600123, Tamil Nadu, India
[2] Panimalar Med Coll Hosp & Res Inst, Dept Biochem, Chennai 600123, Tamil Nadu, India
[3] Panimalar Med Coll Hosp & Res Inst, Dept Med Educ, Chennai 600123, Tamil Nadu, India
来源：
RESPIRATORY MEDICINE AND RESEARCH | 2024年 / 85卷
关键词：
Arti ficial Intelligence; ChatGPT; Clinical decision; Education; Pedagogy; Respiratory medicine;
D O I：
10.1016/j.resmer.2024.101091
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
Integration of ChatGPT in Respiratory medicine presents a promising avenue for enhancing clinical practice and pedagogical approaches. This study compares the performance of ChatGPT version 3.5 and 4 in respiratory medicine, emphasizing its potential in clinical decision support and medical education using clinical cases. Results indicate moderate performance highlighting limitations in handling complex case scenarios. Compared to ChatGPT 3.5, version 4 showed greater promise as a pedagogical tool, providing interactive learning experiences. While serving as a preliminary decision support tool clinically, caution is advised, stressing the need for ongoing validation. Future research should refine its clinical capabilities for optimal integration into medical education and practice.
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页数：3
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