{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T14:55:54Z","timestamp":1790693754591,"version":"4.1.0"},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T00:00:00Z","timestamp":1789516800000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100019370","name":"The Foundation for Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019370","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jsams.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Science and Medicine in Sport"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.jsams.2026.09.010","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T16:16:24Z","timestamp":1790007384000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond the algorithm: A qualitative study of expert perceptions on the impact of injury prediction models in men\u2019s professional football"],"prefix":"10.1016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4838-4931","authenticated-orcid":false,"given":"Francisco","family":"Martins","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0927-692X","authenticated-orcid":false,"given":"\u00c9lvio R\u00fabio","family":"Gouveia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2128-4116","authenticated-orcid":false,"given":"Krzysztof","family":"Przednowek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7434-643X","authenticated-orcid":false,"given":"Honorato","family":"Sousa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8681-0642","authenticated-orcid":false,"given":"Hugo","family":"Sarmento","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.jsams.2026.09.010_bb0005","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1097\/JSM.0000000000001107","article-title":"Injury burden in professional European football (soccer): systematic review, meta-analysis, and economic considerations","volume":"33","author":"Pulici","year":"2023","journal-title":"Clin J Sport Med"},{"issue":"12","key":"10.1016\/j.jsams.2026.09.010_bb0010","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1136\/bjsports-2018-099577","article-title":"Epidemiology of injuries in professional football: a systematic review and meta-analysis","volume":"54","author":"L\u00f3pez-Valenciano","year":"2020","journal-title":"Br J Sports Med"},{"issue":"3","key":"10.1016\/j.jsams.2026.09.010_bb0015","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1136\/ip-2024-045322","article-title":"Predictive models of injury risk in male professional football players: a systematic review","volume":"31","author":"Martins","year":"2025","journal-title":"Inj Prev"},{"issue":"19","key":"10.1016\/j.jsams.2026.09.010_bb0020","doi-asserted-by":"crossref","DOI":"10.3390\/jcm12196293","article-title":"Epidemiology of injuries in professional and amateur football men (part II)","volume":"12","author":"Gurau","year":"2023","journal-title":"J Clin Med"},{"issue":"6","key":"10.1016\/j.jsams.2026.09.010_bb0025","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1177\/0363546510395879","article-title":"Epidemiology of muscle injuries in professional football (soccer)","volume":"39","author":"Ekstrand","year":"2011","journal-title":"Am J Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0030","first-page":"1","article-title":"Epidemiology of player injuries in Europe\u2019s top five professional football leagues: trends, risk factors and economic impact","author":"Stasi","year":"2026","journal-title":"Int J Inj Contr Saf Promot"},{"issue":"2","key":"10.1016\/j.jsams.2026.09.010_bb0035","doi-asserted-by":"crossref","DOI":"10.1136\/bmjsem-2024-002437","article-title":"Monetising misfortune: the financial consequences of injuries in professional football teams","volume":"11","author":"Dallmeyer","year":"2025","journal-title":"BMJ Open Sport Exerc Med"},{"issue":"6","key":"10.1016\/j.jsams.2026.09.010_bb0040","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0301498","article-title":"Economic impact of muscle injury rate and hamstring strain injuries in professional football clubs. Evidence from LaLiga","volume":"19","author":"Nieto Torrej\u00f3n","year":"2024","journal-title":"PloS One"},{"key":"10.1016\/j.jsams.2026.09.010_bb0050","series-title":"Preventing Injuries in Professional Football: Thinking Bigger and Working Together","first-page":"709","author":"Ekstrand","year":"2016"},{"issue":"19","key":"10.1016\/j.jsams.2026.09.010_bb0055","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1136\/bjsports-2020-103159","article-title":"Injury rates decreased in men\u2019s professional football: an 18-year prospective cohort study of almost 12\u202f000 injuries sustained during 1.8 million hours of play","volume":"55","author":"Ekstrand","year":"2021","journal-title":"Br J Sports Med"},{"issue":"5","key":"10.1016\/j.jsams.2026.09.010_bb0060","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1136\/bjsports-2021-105407","article-title":"Hamstring injury rates have increased during recent seasons and now constitute 24% of all injuries in men\u2019s professional football: the UEFA Elite Club Injury Study from 2001\/02 to 2021\/22","volume":"57","author":"Ekstrand","year":"2023","journal-title":"Br J Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0065","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/02640414.2025.2518694","article-title":"Artificial intelligence in sport: a narrative review of applications, challenges and future trends","author":"Zhou","year":"2025","journal-title":"J Sports Sci"},{"issue":"8","key":"10.1016\/j.jsams.2026.09.010_bb0070","article-title":"Artificial intelligence in sports biomechanics: a scoping review on wearable technology, motion analysis, and injury prevention","volume":"12","author":"Souaifi","year":"2025","journal-title":"Bioengineering (Basel, Switzerland)"},{"issue":"7","key":"10.1016\/j.jsams.2026.09.010_bb0075","doi-asserted-by":"crossref","DOI":"10.3390\/data10070116","article-title":"Big data analytics framework for decision-making in sports performance optimization","volume":"10","author":"M\u0103nescu","year":"2025","journal-title":"Data"},{"key":"10.1016\/j.jsams.2026.09.010_bb0080","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1201\/9781003616283-16","article-title":"IoT-enabled performance monitoring methods, injury prevention strategies, and tactical decision-making in football","author":"Al-Farouni","year":"2025","journal-title":"Adv Sports Sci Technol"},{"issue":"2","key":"10.1016\/j.jsams.2026.09.010_bb0085","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/24733938.2025.2517056","article-title":"Perspectives on data analytics for gaining a competitive advantage in football: harnessing data for decision support","volume":"10","author":"Hecksteden","year":"2026","journal-title":"Sci Med Football"},{"issue":"3","key":"10.1016\/j.jsams.2026.09.010_bb0090","doi-asserted-by":"crossref","DOI":"10.3390\/s23031227","article-title":"Predicting injuries in football based on data collected from GPS-based wearable sensors","volume":"23","author":"Pi\u0142ka","year":"2023","journal-title":"Sensors (Basel, Switzerland)"},{"key":"10.1016\/j.jsams.2026.09.010_bb0095","doi-asserted-by":"crossref","DOI":"10.3389\/fspor.2025.1425180","article-title":"Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach","volume":"7","author":"Saberisani","year":"2025","journal-title":"Front Sports Act Living"},{"issue":"7","key":"10.1016\/j.jsams.2026.09.010_bb0100","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1136\/bjsports-2024-108576","article-title":"Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis","volume":"59","author":"Leckey","year":"2025","journal-title":"Br J Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0105","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40634-021-00346-x","article-title":"Machine learning methods in sport injury prediction and prevention: a systematic review","volume":"8","author":"Van Eetvelde","year":"2021","journal-title":"J Exp Orthop"},{"issue":"1","key":"10.1016\/j.jsams.2026.09.010_bb0110","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1186\/s40798-022-00465-4","article-title":"Machine learning for understanding and predicting injuries in football","volume":"8","author":"Majumdar","year":"2022","journal-title":"Sports Med Open"},{"issue":"3","key":"10.1016\/j.jsams.2026.09.010_bb0115","doi-asserted-by":"crossref","DOI":"10.3390\/make7030085","article-title":"Machine learning applied to professional football: performance improvement and results prediction","volume":"7","author":"Moya","year":"2025","journal-title":"Mach Learn Knowl Extr"},{"key":"10.1016\/j.jsams.2026.09.010_bb0120","series-title":"The Role of Artificial Intelligence in Optimizing Managerial Decision-making in Sports Organizations: Opportunities and Challenges","author":"Ghorbani Asiabar","year":"2025"},{"issue":"1","key":"10.1016\/j.jsams.2026.09.010_bb0125","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1108\/JWAM-12-2024-0178","article-title":"Artificial intelligence coach bots: coaches\u2019 perceptions of potential future impacts on professional coaching, a qualitative study","volume":"18","author":"Bruning","year":"2026","journal-title":"J Work Appl Manag"},{"issue":"04","key":"10.1016\/j.jsams.2026.09.010_bb0130","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1055\/a-1268-8791","article-title":"More than a metric: how training load is used in elite sport for athlete management","volume":"42","author":"West","year":"2021","journal-title":"Int J Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0135","doi-asserted-by":"crossref","DOI":"10.3389\/fspor.2024.1332427","article-title":"Challenges and opportunities of artificial intelligence implementation within sports science and sports medicine teams","volume":"6","author":"Naughton","year":"2024","journal-title":"Front Sports Act Living"},{"key":"10.1016\/j.jsams.2026.09.010_bb0140","series-title":"Managing High Performance Sport","first-page":"193","article-title":"Coaching high-performance professional sport: positioning, responsibilities, and tensions","author":"Lara-Bercial","year":"2026"},{"issue":"22","key":"10.1016\/j.jsams.2026.09.010_bb0145","doi-asserted-by":"crossref","DOI":"10.3390\/jcm14228039","article-title":"Machine learning-based prediction of muscle injury risk in professional football: a four-year longitudinal study","volume":"14","author":"Martins","year":"2025","journal-title":"J Clin Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0150","first-page":"1","article-title":"Monitoring training effects in athletes: a multidimensional framework for decision-making","author":"Rebelo","year":"2026","journal-title":"Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0155","first-page":"1","article-title":"Hierarchical deep reinforcement learning for real-time tactical decision-making in team sports","author":"Kong","year":"2026","journal-title":"Data Technol Applic"},{"key":"10.1016\/j.jsams.2026.09.010_bb0160","series-title":"Research Methods in Sports Coaching","author":"Groom","year":"2014"},{"issue":"163\u2013194","key":"10.1016\/j.jsams.2026.09.010_bb0165","first-page":"105","article-title":"Competing paradigms in qualitative research","volume":"2","author":"Guba","year":"1994","journal-title":"Handb Qual Res"},{"key":"10.1016\/j.jsams.2026.09.010_bb0190","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/02640414.2026.2673250","article-title":"Predictive modeling of injury risk based on body composition and physical fitness performance tests in professional football: a four-year study","author":"Martins","year":"2026","journal-title":"J Sports Sci"},{"key":"10.1016\/j.jsams.2026.09.010_bb0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.socscimed.2021.114523","article-title":"Sample sizes for saturation in qualitative research: a systematic review of empirical tests","volume":"292","author":"Hennink","year":"2022","journal-title":"Soc Sci Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0200","series-title":"Qualitative Inquiry and Research Method: Choosing Among Five Approaches","author":"Creswell","year":"2007"},{"issue":"6","key":"10.1016\/j.jsams.2026.09.010_bb0205","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1002\/tsm2.181","article-title":"Prediction models for musculoskeletal injuries in professional sporting activities: a systematic review","volume":"3","author":"Seow","year":"2020","journal-title":"Transl Sports Med"},{"issue":"11","key":"10.1016\/j.jsams.2026.09.010_bb0210","doi-asserted-by":"crossref","first-page":"3143","DOI":"10.1519\/JSC.0000000000003914","article-title":"The association between training load indices and injuries in elite soccer players","volume":"36","author":"Tiernan","year":"2022","journal-title":"J Strength Cond Res"},{"issue":"8","key":"10.1016\/j.jsams.2026.09.010_bb0215","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1007\/s40279-018-0951-z","article-title":"The relationship between training load and injury in athletes: a systematic review","volume":"48","author":"Eckard","year":"2018","journal-title":"Sports Med"},{"issue":"2","key":"10.1016\/j.jsams.2026.09.010_bb0220","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1177\/0363546512470634","article-title":"Risk factors for lower extremity muscle injury in professional soccer: the UEFA Injury Study","volume":"41","author":"H\u00e4gglund","year":"2013","journal-title":"Am J Sports Med"},{"issue":"9","key":"10.1016\/j.jsams.2026.09.010_bb0225","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1136\/bjsports-2014-094104","article-title":"Injury risk factors, screening tests and preventative strategies: a systematic review of the evidence that underpins the perceptions and practices of 44 football (soccer) teams from various premier leagues","volume":"49","author":"McCall","year":"2015","journal-title":"Br J Sports Med"},{"key":"10.1016\/j.jsams.2026.09.010_bb0230","doi-asserted-by":"crossref","DOI":"10.3389\/fspor.2021.679824","article-title":"Load monitoring practice in European elite football and the impact of club culture and financial resources","volume":"3","author":"Houtmeyers","year":"2021","journal-title":"Front Sports Act Living"},{"issue":"9","key":"10.1016\/j.jsams.2026.09.010_bb0235","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.1080\/17461391.2023.2201812","article-title":"Interdisciplinary practice in performance sport: a scoping review of evidence of collaboration","volume":"23","author":"Burns","year":"2023","journal-title":"Eur J Sport Sci"},{"issue":"10","key":"10.1016\/j.jsams.2026.09.010_bb0240","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1007\/s40279-025-02276-5","article-title":"Lessons learned from implementing injury and illness surveillance in professional football: introducing a new implementation framework: M. Tabben et al","volume":"55","author":"Tabben","year":"2025","journal-title":"Sports Med"}],"container-title":["Journal of Science and Medicine in Sport"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1440244026005670?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1440244026005670?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T13:56:45Z","timestamp":1790690205000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1440244026005670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":43,"alternative-id":["S1440244026005670"],"URL":"https:\/\/doi.org\/10.1016\/j.jsams.2026.09.010","relation":{},"ISSN":["1440-2440"],"issn-type":[{"value":"1440-2440","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Beyond the algorithm: A qualitative study of expert perceptions on the impact of injury prediction models in men\u2019s professional football","name":"articletitle","label":"Article Title"},{"value":"Journal of Science and Medicine in Sport","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jsams.2026.09.010","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Ltd on behalf of Sports Medicine Australia.","name":"copyright","label":"Copyright"}]}}