{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T19:39:08Z","timestamp":1783021148520,"version":"3.54.6"},"reference-count":10,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["arthroscopyjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthroscopy"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Morphologic risk stratification for anterior cruciate ligament injury has historically relied upon isolated two\u2010dimensional radiographic parameters (e.g., posterior tibial slope, notch width, lateral femoral condyle ratio, etc.). Although informative, these measures are limited by inter observer measurement variability, workflow burden, inconsistently reported threshold values, and their use in isolation. Emerging artificial intelligence\u2010enabled pipelines paired with three\u2010dimensional modeling may allow automated, scalable quantification of curvature, inclinations, and joint congruity across multiple intra\u2010articular structures from routine magnetic resonance imaging. By considering the interactions among numerous anatomic features, rather than single\u2010slice surrogates, such approaches may improve risk characterization and ultimately support screening and targeted deployment of preventive interventions. However, important challenges remain, including distinguishing pre\u2010injury morphologic phenotypes from post\u2010injury sequelae when imaging is obtained after injury, ensuring robust model development and reporting in small datasets and showing external validity and value. Prospective validation and thoughtful integration of anatomic, clinical, and exposure\u2010related variables will be essential to translate automated three\u2010dimensional morphologic profiling from retrospective association to clinically actionable predictions.<\/jats:p>","DOI":"10.1002\/arj.70160","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T06:49:51Z","timestamp":1778827791000},"page":"1184-1186","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<i>Editorial Commentary<\/i>\n                    : Traveling to A New Dimension in Anterior Cruciate Ligament Injury Risk Stratification: Holistic 3\u2010Dimensional Knee Phenotyping via Automated Artificial Intelligence Pipelines"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8943-0987","authenticated-orcid":false,"given":"Nathan H.","family":"Varady","sequence":"first","affiliation":[{"name":"Hospital for Special Surgery  New York New York U.S.A."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0363-3482","authenticated-orcid":false,"given":"Kyle N.","family":"Kunze","sequence":"additional","affiliation":[{"name":"Midwest Orthopaedics at Rush University  Chicago Illinois U.S.A."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,14]]},"reference":[{"key":"e_1_2_3_2_1","doi-asserted-by":"publisher","DOI":"10.2106\/JBJS.19.00535"},{"key":"e_1_2_3_3_1","doi-asserted-by":"crossref","first-page":"1172","DOI":"10.1002\/arj.70161","article-title":"Distinct 3\u2010Dimensional anatomic patterns including flatter surfaces and greater sagittal inclinations of intra\u2010articular structures are reliably identified through an artificial intelligence\u2010based pipeline in anterior cruciate ligament\u2010injured knees","volume":"42","author":"Meyer O","year":"2026","journal-title":"Arthroscopy."},{"key":"e_1_2_3_4_1","doi-asserted-by":"publisher","DOI":"10.2519\/jospt.2017.0303"},{"key":"e_1_2_3_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/0363546509349055"},{"key":"e_1_2_3_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arthro.2021.04.066"},{"key":"e_1_2_3_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.arthro.2020.12.235"},{"key":"e_1_2_3_8_1","doi-asserted-by":"publisher","DOI":"10.1055\/a-2607-9927"},{"key":"e_1_2_3_9_1","doi-asserted-by":"publisher","DOI":"10.2106\/JBJS.K.00099"},{"key":"e_1_2_3_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00167-017-4761-x"},{"key":"e_1_2_3_11_1","doi-asserted-by":"publisher","DOI":"10.2106\/JBJS.20.01921"}],"container-title":["Arthroscopy"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/arthroscopyjournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/arj.70160","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/arthroscopyjournals.onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/arj.70160","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/arthroscopyjournals.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/arj.70160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T18:52:37Z","timestamp":1783018357000},"score":1,"resource":{"primary":{"URL":"https:\/\/arthroscopyjournals.onlinelibrary.wiley.com\/doi\/10.1002\/arj.70160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,14]]},"references-count":10,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["10.1002\/arj.70160"],"URL":"https:\/\/doi.org\/10.1002\/arj.70160","archive":["Portico"],"relation":{},"ISSN":["0749-8063","1526-3231"],"issn-type":[{"value":"0749-8063","type":"print"},{"value":"1526-3231","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,14]]},"assertion":[{"value":"2026-05-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}