Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", Athens 15341, Greece.
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece.
J Am Med Inform Assoc. 2024 Nov 1;31(11):2689-2698. doi: 10.1093/jamia/ocae232.
This article presents the novel BioASQ Synergy research process which aims to facilitate the interaction between biomedical experts and automated question-answering systems.
The proposed research allows systems to provide answers to emerging questions, which in turn are assessed by experts. The assessment of the experts is fed back to the systems, together with new questions. With this iteration, we aim to facilitate the incremental understanding of a developing problem and contribute to solution discovery.
The results suggest that the proposed approach can assist researchers to navigate available resources. The experts seem to be very satisfied with the quality of the ideal answers provided by the systems, suggesting that such systems are already useful in answering open research questions.
BioASQ Synergy aspires to provide a tool that gives the experts easy and personalized access to the latest findings in a fast-growing corpus of material.
In this article, we envisioned BioASQ Synergy as a continuous dialogue between experts and systems to issue open questions. We ran an initial proof-of-concept of the approach, in order to evaluate its usefulness, both from the side of the experts, as well as from the side of the participating systems.
本文提出了一种新颖的 BioASQ 协同研究方法，旨在促进生物医学专家与自动化问答系统之间的互动。
该研究允许系统提供对新出现问题的答案，这些答案反过来又由专家进行评估。专家的评估结果与新问题一起反馈给系统。通过这种迭代，我们旨在促进对不断发展问题的逐步理解，并有助于发现解决方案。
结果表明，所提出的方法可以帮助研究人员浏览可用资源。专家们似乎对系统提供的理想答案的质量非常满意，这表明这些系统在回答开放的研究问题方面已经非常有用。
BioASQ Synergy 旨在提供一种工具，使专家能够轻松地访问快速增长的大量材料中的最新发现。
在本文中，我们将 BioASQ Synergy 设想为专家和系统之间的持续对话，以提出开放的问题。我们对该方法进行了初步的概念验证，以评估其从专家和参与系统两个方面的有用性。
