{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:50:07Z","timestamp":1760986207916},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684482","type":"print"},{"value":"9781643684499","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"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":[[2023,10,19]]},"abstract":"<jats:p>In Vitro Fertilization is among the most widespread treatments for infertility. One of its main challenges is the evaluation and selection of embryo for implantation, a process with large inter- and intra-clinician variability. Deep learning based methods are gaining attention, but its opaque nature compromises their acceptance in the clinical context, where transparency in the decision making is key. In this paper we analyze the current work in the explainability of AI-assisted embryo analysis models, identifying the limitations. We also discuss how these models could be integrated in the clinical context as decision support systems, considering the needs of clinicians and patients. Finally, we propose guidelines for the sake of increasing interpretability and trustworthiness, pushing this technology forward towards established clinical practice.<\/jats:p>","DOI":"10.3233\/faia230678","type":"book-chapter","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:14:41Z","timestamp":1698048881000},"source":"Crossref","is-referenced-by-count":3,"title":["Exploring the Role of Explainability in AI-Assisted Embryo Selection"],"prefix":"10.3233","author":[{"given":"Lucia","family":"Urcelay","sequence":"first","affiliation":[{"name":"Barcelona Supercomputing Center"}]},{"given":"Daniel","family":"Hinjos","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center"}]},{"given":"Pablo","family":"Martin-Torres","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center"}]},{"given":"Marta","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center"}]},{"given":"Marta","family":"M\u00e9ndez","sequence":"additional","affiliation":[{"name":"Hospital Cl\u00ednic de Barcelona"}]},{"given":"Salva","family":"C\u00edvico","sequence":"additional","affiliation":[{"name":"Hospital Cl\u00ednic de Barcelona"}]},{"given":"Sergio","family":"\u00c1lvarez-Napagao","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center"},{"name":"Universitat Polit\u00e9cnica de Catalunya \u2013 Barcelona TECH"}]},{"given":"Dario","family":"Garcia-Gasulla","sequence":"additional","affiliation":[{"name":"Barcelona Supercomputing Center"},{"name":"Universitat Polit\u00e9cnica de Catalunya \u2013 Barcelona TECH"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T08:14:42Z","timestamp":1698048882000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230678"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,19]]},"ISBN":["9781643684482","9781643684499"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230678","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,19]]}}}