To evaluate the performance of DeepSeek-R1 in gynecological oncology telemedicine by comparing its responses with those of human doctors.
Approach:
Study Design: Retrospective comparative study conducted from April 2025 to October 2025 at the Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine.
Data Sources: Utilized consultation data from 'Ding Xiang Doctor' and 'Good Doctor Online', focusing on gynecological oncology cases published between 2018 and 2025.
Key Findings:
DeepSeek-R1's performance in telemedicine for gynecological oncology has not been previously studied in depth compared to human doctors.
DeepSeek-R1 is part of a growing trend of using large language models in telemedicine, particularly in China.
Interpretation:
The study aims to fill the gap in understanding how DeepSeek-R1 compares to human physicians in providing teleconsultations for gynecological oncology.
Limitations:
The study is retrospective and relies on existing data from online platforms.
Potential biases in the selection of cases and anonymization processes.
Conclusion:
This study aims to provide insights into the performance of DeepSeek-R1 in telemedicine for gynecological oncology compared to human physicians.
