Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome
Abstract This study systematically develops and evaluates the application value of the PCOS-GPT system, an artificial intelligence (AI) assistant based on ChatGPT technology, in the diagnosis and management of polycystic ovary syndrome (PCOS). The research explores innovative pathways for AI-enabled...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-025-03114-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849764210342363136 |
|---|---|
| author | Yingchun Zhu Danchen Luo Xiaoyue Shen Qingqing Shi Haining Lv Simin Zhang Feihong Ye Na Kong |
| author_facet | Yingchun Zhu Danchen Luo Xiaoyue Shen Qingqing Shi Haining Lv Simin Zhang Feihong Ye Na Kong |
| author_sort | Yingchun Zhu |
| collection | DOAJ |
| description | Abstract This study systematically develops and evaluates the application value of the PCOS-GPT system, an artificial intelligence (AI) assistant based on ChatGPT technology, in the diagnosis and management of polycystic ovary syndrome (PCOS). The research explores innovative pathways for AI-enabled PCOS diagnosis and treatment, aiming to provide an adjunctive diagnostic tool for standardized clinical decision support. Methods: An evidence-based PCOS knowledge base was constructed, covering dimensions such as epidemiology, etiology, clinical manifestations, diagnosis, treatment, and prognosis. The PCOS-GPT system was developed using GPT-3.5 pretraining combined with fine-tuning on domain-specific datasets. Using data from 85 patients, the diagnostic and therapeutic performance of PCOS-GPT was evaluated multidimensionally—accuracy, readability, and operability—using diagnoses by three expert physicians as the gold standard. Compared with GPT-4, PCOS-GPT demonstrated advantages in diagnostic accuracy for PCOS (95.63% vs. 96.40%). Conclusion: PCOS-GPT is an intelligent diagnostic and therapeutic support tool with advantages in diagnostic accuracy. It holds promise for improving standardization in diagnosis and treatment, empowering patient self-management, enhancing access to high-quality healthcare resources, and offering comprehensive health management for PCOS patients. This innovation promotes the development of smart healthcare, benefiting women’s health. |
| format | Article |
| id | doaj-art-89fd3a3706e74515b6ecbc89d74ae90b |
| institution | DOAJ |
| issn | 1472-6947 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj-art-89fd3a3706e74515b6ecbc89d74ae90b2025-08-20T03:05:13ZengBMCBMC Medical Informatics and Decision Making1472-69472025-07-0125111610.1186/s12911-025-03114-4Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndromeYingchun Zhu0Danchen Luo1Xiaoyue Shen2Qingqing Shi3Haining Lv4Simin Zhang5Feihong Ye6Na Kong7Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversitySchool of Economics and Management, South China Normal UniversityCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityGuangzhou Shuntu Management Consulting Co., Ltd.School of Chemistry, South China Normal UniversityCenter for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityAbstract This study systematically develops and evaluates the application value of the PCOS-GPT system, an artificial intelligence (AI) assistant based on ChatGPT technology, in the diagnosis and management of polycystic ovary syndrome (PCOS). The research explores innovative pathways for AI-enabled PCOS diagnosis and treatment, aiming to provide an adjunctive diagnostic tool for standardized clinical decision support. Methods: An evidence-based PCOS knowledge base was constructed, covering dimensions such as epidemiology, etiology, clinical manifestations, diagnosis, treatment, and prognosis. The PCOS-GPT system was developed using GPT-3.5 pretraining combined with fine-tuning on domain-specific datasets. Using data from 85 patients, the diagnostic and therapeutic performance of PCOS-GPT was evaluated multidimensionally—accuracy, readability, and operability—using diagnoses by three expert physicians as the gold standard. Compared with GPT-4, PCOS-GPT demonstrated advantages in diagnostic accuracy for PCOS (95.63% vs. 96.40%). Conclusion: PCOS-GPT is an intelligent diagnostic and therapeutic support tool with advantages in diagnostic accuracy. It holds promise for improving standardization in diagnosis and treatment, empowering patient self-management, enhancing access to high-quality healthcare resources, and offering comprehensive health management for PCOS patients. This innovation promotes the development of smart healthcare, benefiting women’s health.https://doi.org/10.1186/s12911-025-03114-4Polycystic ovary syndromeChatGPTArtificial intelligenceEvidence-based medicineIntelligent diagnosis and treatment |
| spellingShingle | Yingchun Zhu Danchen Luo Xiaoyue Shen Qingqing Shi Haining Lv Simin Zhang Feihong Ye Na Kong Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome BMC Medical Informatics and Decision Making Polycystic ovary syndrome ChatGPT Artificial intelligence Evidence-based medicine Intelligent diagnosis and treatment |
| title | Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| title_full | Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| title_fullStr | Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| title_full_unstemmed | Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| title_short | Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| title_sort | application of chatgpt based artificial intelligence in the diagnosis and management of polycystic ovary syndrome |
| topic | Polycystic ovary syndrome ChatGPT Artificial intelligence Evidence-based medicine Intelligent diagnosis and treatment |
| url | https://doi.org/10.1186/s12911-025-03114-4 |
| work_keys_str_mv | AT yingchunzhu applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT danchenluo applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT xiaoyueshen applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT qingqingshi applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT haininglv applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT siminzhang applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT feihongye applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome AT nakong applicationofchatgptbasedartificialintelligenceinthediagnosisandmanagementofpolycysticovarysyndrome |