{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T04:58:50Z","timestamp":1781758730487,"version":"3.54.5"},"reference-count":247,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T00:00:00Z","timestamp":1750032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Action \u201cInvestment Plans of Innovation\u201d of the Operational Program \u201cCentral Macedonia 2014 2020\u201d","award":["KP6-0079459"],"award-info":[{"award-number":["KP6-0079459"]}]},{"name":"Action \u201cInvestment Plans of Innovation\u201d of the Operational Program \u201cCentral Macedonia 2014 2020\u201d","award":["101095435"],"award-info":[{"award-number":["101095435"]}]},{"name":"European Union\u2019s Horizon Europe research and innovation programme","award":["KP6-0079459"],"award-info":[{"award-number":["KP6-0079459"]}]},{"name":"European Union\u2019s Horizon Europe research and innovation programme","award":["101095435"],"award-info":[{"award-number":["101095435"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MAKE"],"abstract":"<jats:p>In vitro fertilization (IVF) is a well-established and efficient assisted reproductive technology (ART). However, it requires a series of costly and non-trivial procedures, and the success rate still needs improvement. Thus, increasing the success rate, simplifying the process, and reducing costs are all essential challenges of IVF. These can be addressed by integrating artificial intelligence techniques, like deep learning (DL), with several aspects of the IVF process. DL techniques can help extract important features from the data, support decision making, and perform several other tasks, as architectures can be adapted to different problems. The emergence of AI in the medical field has seen a rise in DL-supported tools for embryo selection. In this work, recent advances in the use of AI and DL-based embryo selection for IVF are reviewed. The different architectures that have been considered so far for each task are presented. Furthermore, future challenges for artificial intelligence-based ARTs are outlined.<\/jats:p>","DOI":"10.3390\/make7020056","type":"journal-article","created":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T09:51:22Z","timestamp":1750067482000},"page":"56","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5652-2532","authenticated-orcid":false,"given":"Lazaros","family":"Moysis","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece"},{"name":"Department of Mechanical Engineering, University of Western Macedonia, 50100 Kozani, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8090-1519","authenticated-orcid":false,"given":"Lazaros Alexios","family":"Iliadis","sequence":"additional","affiliation":[{"name":"ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7802-7469","authenticated-orcid":false,"given":"George","family":"Vergos","sequence":"additional","affiliation":[{"name":"ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3557-9211","authenticated-orcid":false,"given":"Sotirios P.","family":"Sotiroudis","sequence":"additional","affiliation":[{"name":"ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5614-9056","authenticated-orcid":false,"given":"Achilles D.","family":"Boursianis","sequence":"additional","affiliation":[{"name":"ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Achilleas","family":"Papatheodorou","sequence":"additional","affiliation":[{"name":"Embryolab Fertility Clinic, 55134 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantinos-Iraklis D.","family":"Kokkinidis","sequence":"additional","affiliation":[{"name":"Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9312-4122","authenticated-orcid":false,"given":"Mohammad","family":"Abdul Matin","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, North South University, Dhaka 1213, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6042-0355","authenticated-orcid":false,"given":"Panagiotis","family":"Sarigiannidis","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece"},{"name":"R&D Department, MetaMind Innovations P.C., 50100 Kozani, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilias","family":"Siniosoglou","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece"},{"name":"R&D Department, MetaMind Innovations P.C., 50100 Kozani, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1092-9465","authenticated-orcid":false,"given":"Vasileios","family":"Argyriou","sequence":"additional","affiliation":[{"name":"Department of Networks and Digital Media, Kingston University, Kingston upon Thames KT1 2EE, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5981-5683","authenticated-orcid":false,"given":"Sotirios K.","family":"Goudos","sequence":"additional","affiliation":[{"name":"ELEDIA@AUTH, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,16]]},"reference":[{"key":"ref_1","unstructured":"CDC (2024, January 31). 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