Concordance of ChatGPT With American Burn Association Guidelines on Acute Burns

医学 一致性 介绍 烧伤 梅德林 审查 金标准(测试) 家庭医学 医疗急救 外科 内科学 政治学 法学
作者
Sumaarg Pandya,Mario Alessandri‐Bonetti,Hilary Y. Liu,Tiffany Jeong,Jenny Ziembicki,Francesco M. Egro
出处
期刊:Annals of Plastic Surgery [Lippincott Williams & Wilkins]
卷期号:93 (5): 564-574 被引量:4
标识
DOI:10.1097/sap.0000000000004128
摘要

Abstract Burn injuries often require immediate assistance and specialized care for optimal management and outcomes. The emergence of accessible artificial intelligence technology has just recently started being applied to healthcare decision making and patient education. However, its role in clinical recommendations is still under scrutiny. This study aims to evaluate ChatGPT's outputs and the appropriateness of its responses to commonly asked questions regarding acute burn care when compared to the American Burn Association Guidelines. Twelve commonly asked questions were formulated by a fellowship-trained burn surgeon to address the American Burn Association's recommendations on burn injuries, management, and patient referral. These questions were prompted into ChatGPT, and each response was compared with the aforementioned guidelines, the gold standard for accurate and evidence-based burn care recommendations. Three burn surgeons independently evaluated the appropriateness and comprehensiveness of each ChatGPT response based on the guidelines according to the modified Global Quality Score scale. The average score for ChatGPT-generated responses was 4.56 ± 0.65, indicating the responses were exceptional quality with the most important topics covered and in high concordance with the guidelines. This initial comparison of ChatGPT-generated responses and the American Burn Association guidelines demonstrates that ChatGPT can accurately and comprehensibly describe appropriate treatment and management plans for acute burn injuries. We foresee that ChatGPT may play a role as a complementary tool in medical decision making and patient education, having a profound impact on clinical practice, research, and education.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
追寻的雁兰完成签到 ,获得积分10
1秒前
Hello应助小沈小沈采纳,获得10
3秒前
陶醉的熊完成签到,获得积分10
3秒前
6秒前
科研通AI2S应助阿may采纳,获得10
6秒前
7秒前
科研通AI2S应助彪壮的山灵采纳,获得10
7秒前
花心的小白菜完成签到,获得积分10
7秒前
夏珘依应助fanglz采纳,获得10
8秒前
大模型应助Zjjj0812采纳,获得10
9秒前
科研通AI2S应助ttt采纳,获得10
9秒前
10秒前
Qq完成签到 ,获得积分10
12秒前
fsz发布了新的文献求助10
12秒前
13秒前
共享精神应助西早07采纳,获得10
14秒前
15秒前
15秒前
fengxj完成签到 ,获得积分10
15秒前
kamola0807发布了新的文献求助10
16秒前
王小鸿鸿鸿鸿完成签到,获得积分10
18秒前
科研民工_郭完成签到,获得积分10
19秒前
zhzh0618发布了新的文献求助10
20秒前
研自助完成签到,获得积分10
20秒前
汉堡包应助jia采纳,获得10
20秒前
20秒前
21秒前
John发布了新的文献求助10
21秒前
可爱的函函应助MADKAI采纳,获得10
22秒前
kamola0807完成签到,获得积分10
22秒前
善良的访冬完成签到,获得积分10
23秒前
23秒前
23秒前
25秒前
魏伯安发布了新的文献求助10
25秒前
25秒前
务实的惋清完成签到 ,获得积分10
25秒前
年少发布了新的文献求助10
25秒前
zhou269完成签到,获得积分10
26秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Robot-supported joining of reinforcement textiles with one-sided sewing heads 800
水稻光合CO2浓缩机制的创建及其作用研究 500
Logical form: From GB to Minimalism 500
2025-2030年中国消毒剂行业市场分析及发展前景预测报告 500
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III – Liver, Biliary Tract, and Pancreas, 3rd Edition 400
Elliptical Fiber Waveguides 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4170464
求助须知:如何正确求助?哪些是违规求助? 3706072
关于积分的说明 11693885
捐赠科研通 3392155
什么是DOI,文献DOI怎么找? 1860552
邀请新用户注册赠送积分活动 920377
科研通“疑难数据库(出版商)”最低求助积分说明 832674