{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T06:18:47Z","timestamp":1783491527964,"version":"3.55.0"},"reference-count":42,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cell Dev. Biol."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>To quantitatively assess the whole fundus tessellated density (FTD) using artificial intelligence (AI) and evaluate its association with myopia severity in Chinese children with myopia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional analysis was conducted on participants with myopia at Beijing Children\u2019s Hospital Capital Medical University, from October 2023 to June 2024. AI technology was used to quantitatively measure FTD based on fundus photographs. Participants were classified into mild, moderate, and high myopia (HM) groups based on cycloplegic spherical equivalent (SE). To explore the relationship between FTD and SE, Spearman correlation coefficients along with linear regression analysis were utilized. The ability of FTD to discriminate HM was assessed using Receiver Operating Characteristic curve.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The study included 263 eyes from children aged 6\u201312\u00a0years. AI-quantified FTD showed excellent agreement with manual grading of fundus tessellation (area under the curve [AUC] = 0.97, 95% confidence interval [CI]: 0.95\u20130.98). Median FTD values were 0.01 (0.00\u20130.02), 0.01 (0.00\u20130.03), and 0.04 (0.01\u20130.12) for the three groups respectively. Significant difference was found when comparing HM group with the mild and moderate myopia groups (both\n                      <jats:italic>P<\/jats:italic>\n                      &amp;lt; 0.05). A negative correlation between FTD and SE was observed (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      = \u22120.41,\n                      <jats:italic>P<\/jats:italic>\n                      &amp;lt; 0.001). After adjusting for age and sex, multiple linear regression analysis revealed that each 0.01 increase in FTD was associated with a 0.07 D reduction in SE (\u03b2 = \u22127.17 per 1.00 FTD, equivalent to \u22120.07 per 0.01 FTD, 95% CI: \u22120.10 to \u22120.05,\n                      <jats:italic>P<\/jats:italic>\n                      &amp;lt; 0.001). The AUC of FTD for identifing HM was 0.75 (95% CI: 0.68\u20130.81). Combining FTD with axial length-to-corneal radius ratio (AL\/CR) improved the discriminative performance, achieving an AUC of 0.94 (95% CI: 0.91\u20130.97), significantly higher than axial length (AL), AL\/CR, FTD, or FTD combined with AL (all\n                      <jats:italic>P<\/jats:italic>\n                      &amp;lt; 0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI -quantified FTD demonstrates a significant correlation with the severity of myopia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fcell.2026.1754792","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T05:57:37Z","timestamp":1783490257000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence-quantified fundus tessellated density and its association with myopia severity in Chinese children: a cross-sectional study"],"prefix":"10.3389","volume":"14","author":[{"given":"Nan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, Key Laboratory of Major Diseases in Children, National Center for Children\u2019s Health, Ministry of Education, Beijing Children\u2019s Hospital Capital Medical University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaosheng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Shunyi Women's and Children's Hospital of Beijing Children's Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Zhang","sequence":"additional","affiliation":[{"name":"EVision Technology (Beijing) Co. 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