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Comparing the performance of four mainstream large language models on medical literature review generation: a human expert evaluation in SMILE surgery
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Zitationen
16
Autoren
2026
Jahr
Abstract
Rather than excelling universally, LLMs exhibit distinct and task-specific strengths that mandate a task-driven, hybrid strategy in tool selection. Reference fabrication was found to be a pervasive issue across all models, regardless of the task topic, elevating human verification from a best practice to an essential safeguard for academic integrity.
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Autoren
Institutionen
- Nanchang University(CN)
- Sun Yat-sen University(CN)
- Second Affiliated Hospital of Nanchang University(CN)
- Third Hospital of Nanchang(CN)
- Shanghai Eye Disease Prevention & Treatment Center(CN)
- He Eye Hospital(CN)
- Eye & ENT Hospital of Fudan University(CN)
- First Affiliated Hospital of Gannan Medical University(CN)
- Xiaogan First People's Hospital(CN)
- The Central Hospital of Xiao gan(CN)
- ShenZhen People’s Hospital(CN)