{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T08:07:51Z","timestamp":1789978071293,"version":"4.0.1"},"reference-count":16,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Haemophilia"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Advances in hemophilia treatment have improved life expectancy, yet challenges remain in disease management, predicting clinical complications, and optimizing healthcare resources. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to support clinical decision\u2010making and personalized care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To map the available evidence on AI and ML applications in hemophilia and summarize their contributions to clinical practice.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A scoping review was conducted following the Joanna Briggs Institute methodology and reported according to PRISMA\u2010ScR guidelines. Electronic databases were searched for studies published between January 2014 and December 2024. Two independent reviewers selected studies using predefined eligibility criteria.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 904 records were identified, with 98 duplicates removed. After title and abstract screening, 17 studies underwent full\u2010text assessment. Eight were unavailable in full text, and five did not meet the criteria, resulting in four included studies. AI\/ML applications included identification of hemophilia A cases in administrative databases, ultrasound\u2010assisted diagnosis of hemarthrosis and synovitis, prediction of disease severity based on\n                      <jats:italic>F8<\/jats:italic>\n                      gene mutations, and prediction of adverse clinical outcomes. Frequently used algorithms were Random Forest, support vector machines (SVM), logistic regression, convolutional neural networks, XGBoost, and CatBoost.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Diagnostic models showed high predictive performance, whereas models for adverse outcomes demonstrated limited generalizability due to small and heterogeneous datasets. AI\/ML have substantial potential to improve diagnosis, risk stratification, and personalized management in hemophilia. However, methodological heterogeneity, limited external validation, and the scarcity of studies, particularly in low\u2010 and middle\u2010income countries, remain important barriers to routine clinical implementation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/hae.70405","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T07:56:53Z","timestamp":1789977413000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence and Machine Learning in the Context of Hemophilia: A Scope Review"],"prefix":"10.1111","author":[{"given":"Tatyane Oliveira","family":"Rebou\u00e7as","sequence":"first","affiliation":[{"name":"Center For Hematology and Hemotherapy of Cear\u00e1 HEMOCE  Fortaleza Brazil"},{"name":"Postgraduate Program in Clinical Care in Nursing and Health State University of Cear\u00e1 \u2010UECE  Fortaleza Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9 Cardoso","family":"Tavares","sequence":"additional","affiliation":[{"name":"Postgraduate Program in Clinical Care in Nursing and Health State University of Cear\u00e1 \u2010UECE  Fortaleza Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ant\u00f4nio Diego","family":"Costa","sequence":"additional","affiliation":[{"name":"Postgraduate Program in Clinical Care in Nursing and Health State University of Cear\u00e1 \u2010UECE  Fortaleza Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C\u00edcera Jamille Caldas","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Postgraduate Program in Clinical Care in Nursing and Health State University of Cear\u00e1 \u2010UECE  Fortaleza Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucilane Maria Sales","family":"da Silva","sequence":"additional","affiliation":[{"name":"Postgraduate Program in Clinical Care in Nursing and Health State University of Cear\u00e1 \u2010UECE  Fortaleza Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,21]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/hae.14046"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms23052762"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/15353702221147565"},{"issue":"9","key":"e_1_2_13_5_1","first-page":"651","article-title":"Applications of Artificial Intelligence in Clinical Management, Research, and Health Administration: Imaging Perspectives with a Focus on Hemophilia","volume":"16","author":"Doria A. S.","year":"2023","journal-title":"Expert Rev Hematol"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtha.2024.04.019"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.1619"},{"key":"e_1_2_13_8_1","volume-title":"Learning from Data: A Short Course","author":"Abu\u2010Mostafa Y. S.","year":"2012"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.66810"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/2040620717746312"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.11.006"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/obr.12746"},{"key":"e_1_2_13_13_1","unstructured":"A.Ter\u2010Zakarian R.Barnes andA.vonDrygalski Preval\u00eancia de hipertens\u00e3o em pacientes com hemofilia: uma revis\u00e3o sistem\u00e1tica [resumo](2021) https:\/\/abstracts.isth.org\/abstract\/prevalence\u2010of\u2010hypertension\u2010in\u2010hemophilia\u2010patients\u2010a\u2010systematic\u2010review\/ Acesso em 17 de novembro de 2021."},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtha.2024.05.017"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/jum.16084"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e16331"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rpth.2024.102439"}],"container-title":["Haemophilia"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/hae.70405","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/hae.70405","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/hae.70405","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T07:56:57Z","timestamp":1789977417000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/hae.70405"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,21]]},"references-count":16,"alternative-id":["10.1111\/hae.70405"],"URL":"https:\/\/doi.org\/10.1111\/hae.70405","archive":["Portico"],"relation":{},"ISSN":["1351-8216","1365-2516"],"issn-type":[{"value":"1351-8216","type":"print"},{"value":"1365-2516","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,21]]},"assertion":[{"value":"2025-09-08","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-09-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"hae.70405"}}