Publications by authors named "Pokmeng See"
Large language models in neurosurgery: a systematic review and meta-analysis.
Acta Neurochir (Wien)
November 2024
Article Synopsis
- Large Language Models (LLMs) are gaining attention in neurosurgery, with potential benefits, but their effectiveness across various surgical tasks remains under-researched.
- A systematic review of literature revealed 51 articles focusing on LLM applications, notably in clinical text generation, exam question answering, and decision-making support, predominantly using models like GPT-3.5 and GPT-4.
- While many studies utilized LLMs in a straightforward manner, there is a call for more rigorous guidelines and reproducibility in future research to fully harness their capabilities.
Purpose: This study aims to develop an accessible stepwise management algorithm for pediatric presentations of occipital condyle fractures (OCFs) based on a systematic review of the published literature regarding diagnostic evaluation, treatment, and outcomes.
Methods: A systematic review of the literature was conducted on PubMed to locate English language studies reporting on the management of pediatric OCFs. Data extraction of clinical presentation, management strategies, imaging, and treatment outcome was performed.