{"title":"The Role of ChatGPT in osteoporosis management: a comparative analysis with clinical expertise","authors":"Ömer Faruk Bucak, Cigdem Cinar","doi":"10.1007/s11657-025-01533-4","DOIUrl":null,"url":null,"abstract":"<div><h3>Summary</h3><p>This study evaluates the role of ChatGPT in osteoporosis management, demonstrating 91% diagnostic accuracy and significantly faster response times compared to clinicians. The findings highlight the potential for artificial intelligence (AI) to revolutionize clinical decision-making while emphasizing the critical need for professional oversight to ensure patient safety and comprehensive care.</p><h3>Objective</h3><p>Osteoporosis is a progressive skeletal disease that is characterized by increased bone fragility and an increased risk of fracture. Early diagnosis and effective treatment can significantly reduce healthcare costs; however, limited access to clinical expertise represents a significant challenge to patient care. This study evaluates the diagnostic and treatment recommendations provided by natural language processing (NLP)-based AI models for osteoporosis management and compares them with those of healthcare professionals.</p><h3>Methods</h3><p>A multicenter, cross-sectional study was conducted with the creation of 100 real scenarios from 206 patients with a diagnosis of osteoporosis. The data pertaining to bone mineral density (BMD) and the clinical parameters were subjected to analysis using ChatGPT-4.0. Thereafter, the recommendations proffered by this software were compared to those of five independent physiatrists. A statistical validation of the model’s accuracy was conducted through the use of categorical distribution analysis.</p><h3>Results</h3><p>ChatGPT exhibited a high degree of diagnostic accuracy, with 91% of responses being entirely accurate. It provided recommendations for both pharmacological and non-pharmacological interventions that were consistent with current clinical guidelines. Nevertheless, 8% of the responses were reported as incomplete. Furthermore, ChatGPT was able to produce diagnoses and treatment recommendations at a significantly faster rate than clinicians, while the mean answer time is 5.4 ± 2.45 min in clinicians and 2.3 ± 0.76 min in ChatGPT (<i>p</i> < 0.001).</p><h3>Conclusion</h3><p>These findings highlight the potential of AI tools like ChatGPT to improve efficiency in clinical decision-making while underscoring the necessity of collaboration with healthcare professionals to guarantee comprehensive patient care.</p></div>","PeriodicalId":8283,"journal":{"name":"Archives of Osteoporosis","volume":"20 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Osteoporosis","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s11657-025-01533-4","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Summary
This study evaluates the role of ChatGPT in osteoporosis management, demonstrating 91% diagnostic accuracy and significantly faster response times compared to clinicians. The findings highlight the potential for artificial intelligence (AI) to revolutionize clinical decision-making while emphasizing the critical need for professional oversight to ensure patient safety and comprehensive care.
Objective
Osteoporosis is a progressive skeletal disease that is characterized by increased bone fragility and an increased risk of fracture. Early diagnosis and effective treatment can significantly reduce healthcare costs; however, limited access to clinical expertise represents a significant challenge to patient care. This study evaluates the diagnostic and treatment recommendations provided by natural language processing (NLP)-based AI models for osteoporosis management and compares them with those of healthcare professionals.
Methods
A multicenter, cross-sectional study was conducted with the creation of 100 real scenarios from 206 patients with a diagnosis of osteoporosis. The data pertaining to bone mineral density (BMD) and the clinical parameters were subjected to analysis using ChatGPT-4.0. Thereafter, the recommendations proffered by this software were compared to those of five independent physiatrists. A statistical validation of the model’s accuracy was conducted through the use of categorical distribution analysis.
Results
ChatGPT exhibited a high degree of diagnostic accuracy, with 91% of responses being entirely accurate. It provided recommendations for both pharmacological and non-pharmacological interventions that were consistent with current clinical guidelines. Nevertheless, 8% of the responses were reported as incomplete. Furthermore, ChatGPT was able to produce diagnoses and treatment recommendations at a significantly faster rate than clinicians, while the mean answer time is 5.4 ± 2.45 min in clinicians and 2.3 ± 0.76 min in ChatGPT (p < 0.001).
Conclusion
These findings highlight the potential of AI tools like ChatGPT to improve efficiency in clinical decision-making while underscoring the necessity of collaboration with healthcare professionals to guarantee comprehensive patient care.
期刊介绍：
Archives of Osteoporosis is an international multidisciplinary journal which is a joint initiative of the International Osteoporosis Foundation and the National Osteoporosis Foundation of the USA. The journal will highlight the specificities of different regions around the world concerning epidemiology, reference values for bone density and bone metabolism, as well as clinical aspects of osteoporosis and other bone diseases.
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