Let's chat about cervical cancer: Assessing the accuracy of ChatGPT responses to cervical cancer questions

被引:12
|
作者
Hermann, Catherine E. [1 ,3 ]
Patel, Jharna M. [1 ]
Boyd, Leslie [1 ]
Aviki, Emeline [2 ]
Stasenko, Marina [1 ]
机构
[1] New York Univ Langone Hlth, Dept Obstet & Gynecol, Div Gynecol Oncol, New York, NY USA
[2] New York Univ Langone Hlth Long Isl, Dept Obstet & Gynecol, Div Gynecol Oncol, Mineola, NY USA
[3] NYU Langone Hlth, Dept OBGYN, Div Oncol, 240 E 38th St,20th Floor, New York, NY 10016 USA
关键词
Arti ficial Intelligence; ChatGPT; Cervical dysplasia; HPV vaccination; Cervical cancer; DISPARITIES;
D O I
10.1016/j.ygyno.2023.11.008
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective. To quantify the accuracy of ChatGPT in answering commonly asked questions pertaining to cervical cancer prevention, diagnosis, treatment, and survivorship/quality-of-life (QOL). Methods. ChatGPT was queried with 64 questions adapted from professional society websites and the au-thors' clinical experiences. The answers were scored by two attending Gynecologic Oncologists according to the following scale: 1) correct and comprehensive, 2) correct but not comprehensive, 3) some correct, some in-correct, and 4) completely incorrect. Scoring discrepancies were resolved by additional reviewers as needed. The proportion of responses earning each score were calculated overall and within each question category.Results. ChatGPT provided correct and comprehensive answers to 34 (53.1%) questions, correct but not com-prehensive answers to 19 (29.7%) questions, partially incorrect answers to 10 (15.6%) questions, and completely incorrect answers to 1 (1.6%) question. Prevention and survivorship/QOL had the highest proportion of "correct" scores (scores of 1 or 2) at 22/24 (91.7%) and 15/16 (93.8%), respectively. ChatGPT performed less well in the treatment category, with 15/21 (71.4%) correct scores. It performed the worst in the diagnosis category with only 1/3 (33.3%) correct scores.Conclusion. ChatGPT accurately answers questions about cervical cancer prevention, survivorship, and QOL. It performs less accurately for cervical cancer diagnosis and treatment. Further development of this immensely popular large language model should include physician input before it can be utilized as a tool for Gynecologists or recommended as a patient resource for information on cervical cancer diagnosis and treatment.(c) 2023 Elsevier Inc. All rights reserved.
引用
收藏
页码:164 / 168
页数:5
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