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Flaws (and quality) in research today: can artificial intelligence intervene?
Systems Biology in Reproductive Medicine ( IF 2.4 ) Pub Date : 2020-04-08 , DOI: 10.1080/19396368.2020.1749727
Charalampos Siristatidis 1 , Abraham Pouliakis 2
Affiliation  

The existing flaws in both conducting and reporting of research have been outlined and criticized in the past. Weak research design, poor methodology, lack of fresh ideas and poor reporting are the main points to blame. Issues have been continually raised on the types of results published, review process, sponsorship, notion, ethics, and incentives in publishing, the role of regulatory agencies and stakeholders, the role of funding, and the cooperation between funders and academic institutions and the training of both clinicians and methodologists or statisticians. As a result, there is loss of the utmost goal: the production of robust research to form recommendations to support pragmatic decision in a real-world context. We propose the construction of a model based on artificial intelligence that could assist stakeholders, clinicians, and patients to guide conducting the best quality of research. We briefly describe the levels of the workflow, including the input and output data collection, the feature extraction/selection, the architecture, and parameterization of the model, along with its training, operation, and refinement.



中文翻译:

当今研究中的缺陷(和质量):人工智能可以介入吗?

过去已经概述和批评了进行和报告研究中存在的缺陷。主要的要点是研究设计薄弱,方法不当,缺乏新意和报告不力。关于出版结果的类型,审查过程,赞助,概念,道德和出版激励措施,监管机构和利益相关者的作用,资金的作用以及出资者与学术机构之间的合作以及培训等问题,不断出现问题。既包括临床医生,也包括方法学家或统计学家。结果,失去了最大的目标:进行强有力的研究以形成建议,以支持现实世界中的务实决策。我们建议构建一个基于人工智能的模型,该模型可以帮助利益相关者,临床医生,和患者指导进行最佳研究质量。我们简要描述了工作流的级别,包括输入和输出数据收集,特征提取/选择,模型的体系结构和参数化,以及模型的训练,操作和完善。

更新日期:2020-04-08
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