ChatGPT与DeepSeek在解决膝关节和全膝关节置换术患者查询中的比较疗效

IF 2.1 Q3 ORTHOPEDICS

Arthroplasty Today Pub Date : 2025-06-01 DOI:10.1016/j.artd.2025.101730

Serhat Gurbuz MD, Hakan Bahar MD, Ulas Yavuz MD, Ahmet Keskin MD, PhD, Bulent Karslioglu MD, Yener Solak MD

{"title":"ChatGPT与DeepSeek在解决膝关节和全膝关节置换术患者查询中的比较疗效","authors":"Serhat Gurbuz MD, Hakan Bahar MD, Ulas Yavuz MD, Ahmet Keskin MD, PhD, Bulent Karslioglu MD, Yener Solak MD","doi":"10.1016/j.artd.2025.101730","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The advent of artificial intelligence (AI) in healthcare has opened new avenues for patient education and anxiety reduction. This study aims to compare the efficacy of 2 prominent AI platforms, ChatGPT and DeepSeek, in providing accurate and satisfactory responses to patients with gonarthrosis contemplating total knee arthroplasty (TKA).</div></div><div><h3>Methods</h3><div>A prospective, comparative trial was conducted involving 100 patients diagnosed with gonarthrosis and indicated for TKA. Each patient posed 5 questions regarding the surgery and postoperative rehabilitation to both ChatGPT and DeepSeek. Responses were evaluated by 2 blinded orthopaedic specialists on a 10-point scale for accuracy and patient satisfaction. Patients also rated their satisfaction with each response on a 10-point scale. The primary outcome measures were the mean accuracy scores from specialists and mean satisfaction scores from patients.</div></div><div><h3>Results</h3><div>Statistical analysis revealed significant differences between ChatGPT and DeepSeek in both accuracy and patient satisfaction (<em>P</em> < .001). ChatGPT demonstrated superior performance with a mean accuracy score of 8.7 ± 0.9 compared to DeepSeek’s 7.4 ± 1.2. Patient satisfaction scores aligned with expert evaluations, with ChatGPT achieving a mean satisfaction score of 8.9 ± 0.8 vs DeepSeek’s 7.6 ± 1.1. Notably, ChatGPT excelled in providing comprehensive explanations of surgical procedures (mean score 9.2 ± 0.7) and postoperative care (9.1 ± 0.8), while DeepSeek performed better in offering concise summaries of recovery timelines (8.3 ± 0.9).</div></div><div><h3>Conclusions</h3><div>This study demonstrates that ChatGPT offers more accurate and satisfactory responses to patient queries regarding gonarthrosis and TKA compared to DeepSeek. The findings suggest that AI platforms, particularly ChatGPT, can serve as valuable tools in augmenting patient education and potentially reducing preoperative anxiety. Future research should explore the integration of AI-assisted information delivery in clinical practice and its long-term impact on patient outcomes.</div></div>","PeriodicalId":37940,"journal":{"name":"Arthroplasty Today","volume":"33 ","pages":"Article 101730"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Efficacy of ChatGPT and DeepSeek in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty\",\"authors\":\"Serhat Gurbuz MD, Hakan Bahar MD, Ulas Yavuz MD, Ahmet Keskin MD, PhD, Bulent Karslioglu MD, Yener Solak MD\",\"doi\":\"10.1016/j.artd.2025.101730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The advent of artificial intelligence (AI) in healthcare has opened new avenues for patient education and anxiety reduction. This study aims to compare the efficacy of 2 prominent AI platforms, ChatGPT and DeepSeek, in providing accurate and satisfactory responses to patients with gonarthrosis contemplating total knee arthroplasty (TKA).</div></div><div><h3>Methods</h3><div>A prospective, comparative trial was conducted involving 100 patients diagnosed with gonarthrosis and indicated for TKA. Each patient posed 5 questions regarding the surgery and postoperative rehabilitation to both ChatGPT and DeepSeek. Responses were evaluated by 2 blinded orthopaedic specialists on a 10-point scale for accuracy and patient satisfaction. Patients also rated their satisfaction with each response on a 10-point scale. The primary outcome measures were the mean accuracy scores from specialists and mean satisfaction scores from patients.</div></div><div><h3>Results</h3><div>Statistical analysis revealed significant differences between ChatGPT and DeepSeek in both accuracy and patient satisfaction (<em>P</em> < .001). ChatGPT demonstrated superior performance with a mean accuracy score of 8.7 ± 0.9 compared to DeepSeek’s 7.4 ± 1.2. Patient satisfaction scores aligned with expert evaluations, with ChatGPT achieving a mean satisfaction score of 8.9 ± 0.8 vs DeepSeek’s 7.6 ± 1.1. Notably, ChatGPT excelled in providing comprehensive explanations of surgical procedures (mean score 9.2 ± 0.7) and postoperative care (9.1 ± 0.8), while DeepSeek performed better in offering concise summaries of recovery timelines (8.3 ± 0.9).</div></div><div><h3>Conclusions</h3><div>This study demonstrates that ChatGPT offers more accurate and satisfactory responses to patient queries regarding gonarthrosis and TKA compared to DeepSeek. The findings suggest that AI platforms, particularly ChatGPT, can serve as valuable tools in augmenting patient education and potentially reducing preoperative anxiety. Future research should explore the integration of AI-assisted information delivery in clinical practice and its long-term impact on patient outcomes.</div></div>\",\"PeriodicalId\":37940,\"journal\":{\"name\":\"Arthroplasty Today\",\"volume\":\"33 \",\"pages\":\"Article 101730\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arthroplasty Today\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352344125001177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arthroplasty Today","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352344125001177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ORTHOPEDICS","Score":null,"Total":0}

引用次数: 0

摘要

人工智能（AI）在医疗保健领域的出现为患者教育和减少焦虑开辟了新的途径。本研究旨在比较两种著名的人工智能平台ChatGPT和DeepSeek在为考虑全膝关节置换术（TKA）的关节病患者提供准确和满意的应答方面的疗效。方法对100例诊断为关节病并适用全膝关节置换术的患者进行前瞻性比较研究。每位患者分别向ChatGPT和DeepSeek提出5个关于手术和术后康复的问题。回复由2名盲法骨科专家以10分制的准确性和患者满意度进行评估。患者还对每个反应的满意度进行了10分制的评分。主要结果测量是专家的平均准确性评分和患者的平均满意度评分。结果统计分析显示，ChatGPT与DeepSeek在准确性和患者满意度方面存在显著差异(P <；措施)。ChatGPT表现出优越的性能，平均准确率得分为8.7±0.9，而DeepSeek为7.4±1.2。患者满意度得分与专家评估一致，ChatGPT的平均满意度得分为8.9±0.8，而DeepSeek的平均满意度得分为7.6±1.1。值得注意的是，ChatGPT在提供全面的手术过程解释（平均得分9.2±0.7）和术后护理（平均得分9.1±0.8）方面表现出色，而DeepSeek在提供简明的恢复时间表总结（8.3±0.9）方面表现更好。本研究表明，与DeepSeek相比，ChatGPT对关节病和TKA患者的查询提供了更准确和满意的回答。研究结果表明，人工智能平台，特别是ChatGPT，可以作为加强患者教育和潜在地减少术前焦虑的有价值的工具。未来的研究应探索人工智能辅助信息传递在临床实践中的整合及其对患者预后的长期影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Comparative Efficacy of ChatGPT and DeepSeek in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty

Background

The advent of artificial intelligence (AI) in healthcare has opened new avenues for patient education and anxiety reduction. This study aims to compare the efficacy of 2 prominent AI platforms, ChatGPT and DeepSeek, in providing accurate and satisfactory responses to patients with gonarthrosis contemplating total knee arthroplasty (TKA).

Methods

A prospective, comparative trial was conducted involving 100 patients diagnosed with gonarthrosis and indicated for TKA. Each patient posed 5 questions regarding the surgery and postoperative rehabilitation to both ChatGPT and DeepSeek. Responses were evaluated by 2 blinded orthopaedic specialists on a 10-point scale for accuracy and patient satisfaction. Patients also rated their satisfaction with each response on a 10-point scale. The primary outcome measures were the mean accuracy scores from specialists and mean satisfaction scores from patients.

Results

Statistical analysis revealed significant differences between ChatGPT and DeepSeek in both accuracy and patient satisfaction (P < .001). ChatGPT demonstrated superior performance with a mean accuracy score of 8.7 ± 0.9 compared to DeepSeek’s 7.4 ± 1.2. Patient satisfaction scores aligned with expert evaluations, with ChatGPT achieving a mean satisfaction score of 8.9 ± 0.8 vs DeepSeek’s 7.6 ± 1.1. Notably, ChatGPT excelled in providing comprehensive explanations of surgical procedures (mean score 9.2 ± 0.7) and postoperative care (9.1 ± 0.8), while DeepSeek performed better in offering concise summaries of recovery timelines (8.3 ± 0.9).

Conclusions

This study demonstrates that ChatGPT offers more accurate and satisfactory responses to patient queries regarding gonarthrosis and TKA compared to DeepSeek. The findings suggest that AI platforms, particularly ChatGPT, can serve as valuable tools in augmenting patient education and potentially reducing preoperative anxiety. Future research should explore the integration of AI-assisted information delivery in clinical practice and its long-term impact on patient outcomes.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Arthroplasty Today Medicine-Surgery

CiteScore

2.90

自引率

0.00%

发文量

258

审稿时长

40 weeks

期刊介绍： Arthroplasty Today is a companion journal to the Journal of Arthroplasty. The journal Arthroplasty Today brings together the clinical and scientific foundations for joint replacement of the hip and knee in an open-access, online format. Arthroplasty Today solicits manuscripts of the highest quality from all areas of scientific endeavor that relate to joint replacement or the treatment of its complications, including those dealing with patient outcomes, economic and policy issues, prosthetic design, biomechanics, biomaterials, and biologic response to arthroplasty. The journal focuses on case reports. It is the purpose of Arthroplasty Today to present material to practicing orthopaedic surgeons that will keep them abreast of developments in the field, prove useful in the care of patients, and aid in understanding the scientific foundation of this subspecialty area of joint replacement. The international members of the Editorial Board provide a worldwide perspective for the journal''s area of interest. Their participation ensures that each issue of Arthroplasty Today provides the reader with timely, peer-reviewed articles of the highest quality.