Performance of ChatGPT 3.5 and 4 as a tool for patient support before and after DBS surgery for Parkinson’s disease

Author:

Oliveira Ana LúciaORCID,Coelho Miguel,Guedes Leonor CorreiaORCID,Cattoni Maria Begoña,Carvalho Herculano,Duarte-Batista PedroORCID

Abstract

AbstractDeep brain stimulation (DBS) is a neurosurgical procedure that involves implanting electrodes into specific areas of the brain to treat a variety of medical conditions, including Parkinson’s disease. Doubts and questions from patients prior to or following surgery should be addressed in line with the most recent scientific and clinical practice. ChatGPT emerges as an example of how artificial intelligence can be used, with its ability to comprehend and answer medical questions in an understandable way, accessible to everyone. However, the risks of these resources still need to be fully understood.ChatGPT models 3.5 and 4 responses to 40 questions in English and Portuguese were independently graded by two experienced specialists in functional neurosurgery and neurological movement disorders and resolved by a third reviewer. ChatGPT 3.5 and 4 demonstrated a good level of accuracy in responding to 80 questions in both English and Portuguese, related to DBS surgery for Parkinson’s disease. The proportion of responses graded as correct was 57.5% and 83.8% for GPT 3.5 and GPT 4, respectively. GPT 3.5 provided potentially harmful answers for 6.3% (5/80) of its responses. No responses from GPT 4 were graded as harmful. In general, ChatGPT 3.5 and 4 demonstrated good performance in terms of quality and reliability across two different languages. Nonetheless, harmful responses should not be scorned, and it’s crucial to consider this aspect when addressing patients using these resources. Considering the current safety concerns, it’s not advisable for patients to use such models for DBS surgery guidance. Performance of ChatGPT 3.5 and 4 as a tool for patient support before and after DBS surgery for Parkinson’s disease.

Funder

Unidade Local de Saúde do Estuário do Tejo

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3