Anastasia Krithara, Anastasios Nentidis, Eirini Vandorou, Georgios Katsimpras, Yannis Almirantis, Magda Arnal, Adomas Bunevicius, Eulalia Farre-Maduell, Maya Kassiss, Vasileios Konstantakos, Sherri Matis-Mitchell, Dimitris Polychronopoulos, Jesus Rodriguez-Pascual, Eleftherios G Samaras, Martina Samiotaki, Despina Sanoudou, Aspasia Vozi, Georgios Paliouras
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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.</p>","PeriodicalId":50016,"journal":{"name":"Journal of the American Medical Informatics Association","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11491595/pdf/","citationCount":"0","resultStr":"{\"title\":\"BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research.\",\"authors\":\"Anastasia Krithara, Anastasios Nentidis, Eirini Vandorou, Georgios Katsimpras, Yannis Almirantis, Magda Arnal, Adomas Bunevicius, Eulalia Farre-Maduell, Maya Kassiss, Vasileios Konstantakos, Sherri Matis-Mitchell, Dimitris Polychronopoulos, Jesus Rodriguez-Pascual, Eleftherios G Samaras, Martina Samiotaki, Despina Sanoudou, Aspasia Vozi, Georgios Paliouras\",\"doi\":\"10.1093/jamia/ocae232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This article presents the novel BioASQ Synergy research process which aims to facilitate the interaction between biomedical experts and automated question-answering systems.</p><p><strong>Materials and methods: </strong>The proposed research allows systems to provide answers to emerging questions, which in turn are assessed by experts. 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BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research.
Objective: This article presents the novel BioASQ Synergy research process which aims to facilitate the interaction between biomedical experts and automated question-answering systems.
Materials and methods: 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.
Results: 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.
Discussion: 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.
Conclusion: 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.
期刊介绍:
JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.