{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T06:51:52Z","timestamp":1783407112214,"version":"3.54.6"},"reference-count":78,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Japanese Society for Promotion of Science","award":["19H03808"],"award-info":[{"award-number":["19H03808"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Myopia is a global health issue, and the prevalence of high myopia has increased significantly in the past five to six decades. The high incidence of myopia and its vision-threatening course emphasize the need for automated methods to screen for high myopia and its serious form, named pathologic myopia (PM). Artificial intelligence (AI)-based applications have been extensively applied in medicine, and these applications have focused on analyzing ophthalmic images to diagnose the disease and to determine prognosis from these images. However, unlike diseases that mainly show pathologic changes in the fundus, high myopia and PM generate even more data because both the ophthalmic information and morphological changes in the retina and choroid need to be analyzed. In this review, we present how AI techniques have been used to diagnose and manage high myopia, PM, and other ocular diseases and discuss the current capacity of AI in assisting in preventing high myopia.<\/jats:p>","DOI":"10.3390\/diagnostics12051210","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T03:28:43Z","timestamp":1652326123000},"page":"1210","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Novel Uses and Challenges of Artificial Intelligence in Diagnosing and Managing Eyes with High Myopia and Pathologic Myopia"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8916-775X","authenticated-orcid":false,"given":"Ran","family":"Du","sequence":"first","affiliation":[{"name":"Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoko","family":"Ohno-Matsui","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1739","DOI":"10.1016\/S0140-6736(12)60272-4","article-title":"Myopia","volume":"379","author":"Morgan","year":"2012","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1097\/IAE.0000000000002590","article-title":"Prevalence and time trends of myopia in children and adolescents in China: A Systemic Review and Meta-Analysis","volume":"40","author":"Dong","year":"2020","journal-title":"Retina"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"27","DOI":"10.47102\/https:\/\/doi.org\/10.47102\/annals-acadmedsg.V33N1p27","article-title":"Prevalence of myopia in Taiwanese schoolchildren: 1983 to 2000","volume":"33","author":"Lin","year":"2004","journal-title":"Ann. 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