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Despite their widespread application, the reusability of BNs presented in papers that describe their application to real-world tasks has not been thoroughly examined. In this paper, we perform a structured survey on the reusability of BNs using the PRISMA methodology, analyzing 147 papers from various domains. Our results indicate that only 18% of the papers provide sufficient information to enable the reusability of the described BNs. This creates significant challenges for other researchers attempting to reuse these models, especially since many BNs are developed using expert knowledge elicitation. Additionally, direct requests to authors for reusable BNs yielded positive results in only 12% of cases. These findings underscore the importance of improving reusability and reproducibility practices within the BN research community, a need that is equally relevant across the broader field of Artificial Intelligence.<\/jats:p>","DOI":"10.1007\/s10489-025-06289-5","type":"journal-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T09:04:07Z","timestamp":1738919047000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Reusability of Bayesian Networks case studies: a survey"],"prefix":"10.1007","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2568-6702","authenticated-orcid":false,"given":"Nikolay","family":"Babakov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4460-1671","authenticated-orcid":false,"given":"Adarsa","family":"Sivaprasad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7548-9504","authenticated-orcid":false,"given":"Ehud","family":"Reiter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3574-3843","authenticated-orcid":false,"given":"Alberto","family":"Bugar\u00edn-Diz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"issue":"6","key":"6289_CR1","first-page":"210187","volume":"5","author":"SX Ma","year":"2023","unstructured":"Ma SX, Dhanaliwala AH, Rudie JD, Rauschecker AM, Roberts-Wolfe D, Haddawy P, Kahn CE Jr (2023) Bayesian Networks in radiology. 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