{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T03:13:03Z","timestamp":1781579583249,"version":"3.54.5"},"reference-count":28,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T00:00:00Z","timestamp":1745884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Hematology Reports"],"abstract":"<jats:p>Drug-induced and idiosyncratic cytopenias, including anemia, neutropenia, and thrombocytopenia, present significant challenges in fields like immunohematology and internal medicine. These conditions are often unpredictable, multifactorial, and can arise from a complex interplay of drug reactions, immune abnormalities, and other poorly understood mechanisms. In many cases, the precise triggers and underlying factors remain unclear, making diagnosis and management difficult. However, advancements in artificial intelligence (AI) are offering new opportunities to address these challenges. With its ability to process vast amounts of clinical, genomic, and pharmacovigilance data, AI can identify patterns and risk factors that may be missed by traditional methods. Machine learning algorithms can refine predictive models, enabling earlier detection and more accurate risk assessments. Additionally, AI\u2019s role in enhancing patient engagement\u2014through tailored monitoring and personalized treatment strategies\u2014ensures more effective follow-up and improved clinical outcomes for patients at risk of these potentially life-threatening conditions. Through these innovations, AI is paving the way for a more proactive and personalized approach to managing drug-induced cytopenias.<\/jats:p>","DOI":"10.3390\/hematolrep17030024","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T11:00:54Z","timestamp":1745924454000},"page":"24","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7914-7616","authenticated-orcid":false,"given":"Emmanuel","family":"Andr\u00e8s","sequence":"first","affiliation":[{"name":"Service de M\u00e9decine Interne, H\u00f4pital de Hautepierre, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"},{"name":"Centre de Comp\u00e9tence des Cytop\u00e9nies du Bas\u2013Rhin, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8470-806X","authenticated-orcid":false,"given":"Amir","family":"El Hassani Hajjam","sequence":"additional","affiliation":[{"name":"Laboratoire de Nanom\u00e9decine Imagerie et Th\u00e9rapeutique, Universit\u00e9 de Technologie de Belfort Montb\u00e9liard, 25200 Belfort-Montb\u00e9liard, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Maloisel","sequence":"additional","affiliation":[{"name":"Service d\u2019H\u00e9matologie, Clinique Saint-Anne, 67000 Strasbourg, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Bel\u00e9n","family":"Alonso-Ortiz","sequence":"additional","affiliation":[{"name":"Servicio de Medicina Interna, Hospital Universitario de Gran Canaria Dr Negrin, 35010 Las Palmas de Gran Canaria, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0830-8897","authenticated-orcid":false,"given":"Manuel","family":"M\u00e9ndez-Bail\u00f3n","sequence":"additional","affiliation":[{"name":"Servicio de Medicina Interna, Hospital Universitario Cl\u00ednico San Carlos, 28040 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5384-072X","authenticated-orcid":false,"given":"Thierry","family":"Lavigne","sequence":"additional","affiliation":[{"name":"Service d\u2019Hygi\u00e8ne Hospitali\u00e8re et P\u00f4le de Sant\u00e9 Publique, H\u00f4pital Civil, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7166-9057","authenticated-orcid":false,"given":"Xavier","family":"Jannot","sequence":"additional","affiliation":[{"name":"Service de M\u00e9decine Interne, H\u00f4pital de Hautepierre, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"},{"name":"Centre de Comp\u00e9tence des Cytop\u00e9nies du Bas\u2013Rhin, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noel","family":"Lorenzo-Villalba","sequence":"additional","affiliation":[{"name":"Service de M\u00e9decine Interne, H\u00f4pital de Hautepierre, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"},{"name":"Centre de Comp\u00e9tence des Cytop\u00e9nies du Bas\u2013Rhin, H\u00f4pitaux Universitaires de Strasbourg, 67000 Strasbourg, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.3324\/haematol.2021.279484","article-title":"Treatment of drug-induced immune thrombocytopenias","volume":"107","author":"Marini","year":"2022","journal-title":"Haematologica"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Vayne, C., Gu\u00e9ry, E.-A., Rollin, J., Baglo, T., Petermann, R., and Gruel, Y. 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