{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T14:00:52Z","timestamp":1723471252181},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684000","type":"print"},{"value":"9781643684017","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,29]]},"abstract":"Artificial intelligence (AI) tends to emerge as a relevant component of medical care, previously reserved for medical experts. A key factor for the utilization of AI is the user\u2019s trust in the AI itself, respectively the AIt\u2019s decision process, but AI-models are lacking information about this process, the so-called Black Box, potentially affecting usert\u2019s trust in AI. This analysis\u2019 objective is the description of trust-related research regarding AI-models and the relevance of trust in comparison to other AI-related research topics in healthcare. For this purpose, a bibliometric analysis relying on 12985 article abstracts was conducted to derive a co-occurrence network which can be used to show former and current scientific endeavors in the field of healthcare based AI research and to provide insight into underrepresented research fields. Our results indicate that perceptual factors such as \u201ctrust\u201d are still underrepresented in the scientific literature compared to other research fields.<\/jats:p>","DOI":"10.3233\/shti230409","type":"book-chapter","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:51:24Z","timestamp":1688111484000},"source":"Crossref","is-referenced-by-count":1,"title":["The Representation of Trust in Artificial Intelligence Healthcare Research"],"prefix":"10.3233","author":[{"given":"Jan-Oliver","family":"Kutza","sequence":"first","affiliation":[{"name":"Department of New Public Health, Osnabr\u00fcck University, Nelson-Mandela-Stra\u00dfe 13, D 49076 Osnabr\u00fcck, Germany"},{"name":"Health Informatics Research Group, Osnabr\u00fcck University of Applied Sciences, Albrechtstra\u00dfe 30, D 49076 Osnabr\u00fcck, Germany"}]},{"given":"Niels","family":"Hannemann","sequence":"additional","affiliation":[{"name":"Department of New Public Health, Osnabr\u00fcck University, Nelson-Mandela-Stra\u00dfe 13, D 49076 Osnabr\u00fcck, Germany"}]},{"given":"Ursula","family":"H\u00fcbner","sequence":"additional","affiliation":[{"name":"Health Informatics Research Group, Osnabr\u00fcck University of Applied Sciences, Albrechtstra\u00dfe 30, D 49076 Osnabr\u00fcck, Germany"}]},{"given":"Birgit","family":"Babitsch","sequence":"additional","affiliation":[{"name":"Department of New Public Health, Osnabr\u00fcck University, Nelson-Mandela-Stra\u00dfe 13, D 49076 Osnabr\u00fcck, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Healthcare Transformation with Informatics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230409","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T07:51:59Z","timestamp":1688111519000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230409"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"ISBN":["9781643684000","9781643684017"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230409","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,29]]}}}