In today's vast literature landscape, a manual review is very time-consuming.
To address this challenge, this paper proposes a semi-automated tool for
solution method review and selection. It caters to researchers, practitioners,
and decision-makers while serving as a benchmark for future work. The tool
comprises three modules: (1) paper selection and scoring, using a keyword
selection scheme to query Scopus API and compute relevancy; (2) solution method
extraction in papers utilizing OpenAI API; (3) sensitivity analysis and
post-analyzes. It reveals trends, relevant papers, and methods. AI in the
oncology case study and several use cases are presented with promising results,
comparing the tool to manual ground truth.

本文提出了一个半自动化工具，用于解决方法审查和选择的问题，并通过关键词选择方案查询 Scopus API 进行文献选择和评分，利用 OpenAI API 提取论文中的解决方法，并进行敏感性分析和后续分析，以揭示趋势、相关文献和方法，并通过与手动判断结果比对，在肿瘤学案例研究和几个应用案例中展示了该工具的有希望的结果。