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Temporal evolution of large language models (LLMs) in oncology
2
Zitationen
20
Autoren
2025
Jahr
Abstract
Our meta-analysis reveals temporal performance degradation in ChatGPT-3.5 and ChatGPT-4, which contrasts with the consistent improvement observed in Gemini. These findings provide essential guidance for the evidence-based deployment of LLMs in oncology.
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Autoren
Institutionen
- Zhujiang Hospital(CN)
- Second Military Medical University(CN)
- Changhai Hospital(CN)
- University of Hong Kong(HK)
- Zhuhai People's Hospital(CN)
- Southern Medical University(CN)
- Shanghai Jiao Tong University(CN)
- Shanghai First People's Hospital(CN)
- Nanfang Hospital(CN)
- South China University of Technology(CN)
- Quzhou City People's Hospital(CN)
- Quzhou University(CN)
- Qingdao University(CN)
- Affiliated Hospital of Qingdao University(CN)
- University of Electronic Science and Technology of China(CN)
- Monash Health(AU)
- Suzhou Research Institute(CN)
- Monash University(AU)
- Anhui Medical University(CN)
- Sun Yat-sen University(CN)
- Sun Yat-sen University Cancer Center(CN)
- Central South University(CN)
- Xiangya Hospital Central South University(CN)
- Fudan University(CN)
- Zhongshan Hospital(CN)
- Harbin Medical University(CN)
- First Affiliated Hospital of Harbin Medical University(CN)