医学
完备性(序理论)
利克特量表
自身免疫性肝炎
科恩卡帕
卡帕
可靠性(半导体)
生活质量(医疗保健)
比例(比率)
医学物理学
肝炎
统计
机器学习
内科学
护理部
计算机科学
数学分析
语言学
哲学
功率(物理)
数学
物理
量子力学
作者
Francesca Colapietro,Daniele Piovani,Nicola Pugliese,Alessio Aghemo,Vincenzo Ronca,Ana Lleò
标识
DOI:10.14309/ajg.0000000000003179
摘要
Background and aims: Artificial intelligence-based chatbots offer a potential avenue for delivering personalized counselling to Autoimmune Hepatitis (AIH) patients. We assessed accuracy, completeness, comprehensiveness and safety of ChatGPT-4 responses to 12 inquiries out of a pool of 40 questions posed by four AIH patients. Methods: Questions were categorized into three areas: Diagnosis(1-3), Quality of Life(4-8) and Medical treatment(9-12). 11 Key Opinion Leaders (KOLs) evaluated responses using a Likert scale with 6 points for accuracy, 5 points for safety and 3 points for completeness and comprehensiveness. Results: Median scores for accuracy, completeness, comprehensiveness and safety were 5(4-6), 2 (2-2) and 3 (2-3); no domain exhibited superior evaluation. Post-diagnosis follow-up question was the trickiest with low accuracy and completeness but safe and comprehensive features. Agreement among KOLs (Fleiss’s Kappa statistics) was slight for accuracy (0.05) but poor for the remaining features (-0.05, -0.06 and -0,02, respectively). Conclusions: Chatbots show good comprehensibility but lack reliability. Further studies are needed to integrate Chat-GPT within clinical practice.
科研通智能强力驱动
Strongly Powered by AbleSci AI