{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T20:22:39Z","timestamp":1793996559989,"version":"4.8.0"},"reference-count":60,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T00:00:00Z","timestamp":1719532800000},"content-version":"vor","delay-in-days":179,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP22K09486"],"award-info":[{"award-number":["JP22K09486"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Reprod Medicine &amp; Biology"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The third AI boom, which began in 2010, has been characterized by the rapid evolution and diversification of AI and marked by the development of key technologies such as machine learning and deep learning. AI is revolutionizing the medical field, enhancing diagnostic accuracy, surgical outcomes, and drug production.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This review includes explanations of digital transformation (DX), the history of AI, the difference between machine learning and deep learning, recent AI topics, medical AI, and AI research in male infertility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Main Findings (Results)<\/jats:title>\n                    <jats:p>In research on male infertility, I established an AI\u2010based prediction model for Johnsen scores and an AI predictive model for sperm retrieval in non\u2010obstructive azoospermia, both by no\u2010code AI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AI is making constant progress. It would be ideal for physicians to acquire a knowledge of AI and even create AI models. No\u2010code AI tools have revolutionized model creation, allowing individuals to independently handle data preparation and model development. Previously a team effort, this shift empowers users to craft customized AI models solo, offering greater flexibility and control in the model creation process.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/rmb2.12590","type":"journal-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T05:54:32Z","timestamp":1719554072000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Potential for artificial intelligence in medicine and its application to male infertility"],"prefix":"10.1002","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1381-1665","authenticated-orcid":false,"given":"Hideyuki","family":"Kobayashi","sequence":"first","affiliation":[{"name":"Department of Urology Toho University School of Medicine  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,6,28]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"crossref","unstructured":"MiyazakiK SatoR editors.Analyses of the technological accumulation over the 2nd and the 3rd AI boom and the issues related to AI adoption by firms. 2018 Portland International Conference on Management of Engineering and Technology (PICMET)2018:1\u201323.","DOI":"10.23919\/PICMET.2018.8481822"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/07366981.2020.1847813"},{"key":"e_1_2_11_4_1","unstructured":"PihirI Tomi\u010di\u0107\u2010PupekK FurjanMT editors.Digital transformation insights and trends.2018."},{"key":"e_1_2_11_5_1","doi-asserted-by":"crossref","unstructured":"GebayewC HardiniIR PanjaitanGHA KurniawanNB Systems SJICoIT Innovation.A systematic literature review on digital transformation.2018;260\u2013265.","DOI":"10.1109\/ICITSI.2018.8695912"},{"key":"e_1_2_11_6_1","first-page":"124","article-title":"The digital transformation revolution","volume":"3","author":"Abd\u2010Rabo A","year":"2021","journal-title":"Int J Human Educat Res"},{"key":"e_1_2_11_7_1","volume-title":"Special issue on artificial intelligence","author":"Klassner F","year":"1996"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00069-1"},{"key":"e_1_2_11_9_1","volume-title":"AI: the tumultuous history of the search for artificial intelligence","author":"Crevier D","year":"1993"},{"key":"e_1_2_11_10_1","first-page":"1","volume-title":"Advances in computers","author":"Hopgood AA","year":"2005"},{"key":"e_1_2_11_11_1","doi-asserted-by":"crossref","unstructured":"BrudererHE editor.The birth of artificial intelligence: first conference on artificial intelligence in Paris in 1951? 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