Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation
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, im...
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MDPI AG
2025-04-01
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| Series: | Hematology Reports |
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| Online Access: | https://www.mdpi.com/2038-8330/17/3/24 |
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| author | Emmanuel Andrès Amir El Hassani Hajjam Frédéric Maloisel Maria Belén Alonso-Ortiz Manuel Méndez-Bailón Thierry Lavigne Xavier Jannot Noel Lorenzo-Villalba |
| author_facet | Emmanuel Andrès Amir El Hassani Hajjam Frédéric Maloisel Maria Belén Alonso-Ortiz Manuel Méndez-Bailón Thierry Lavigne Xavier Jannot Noel Lorenzo-Villalba |
| author_sort | Emmanuel Andrès |
| collection | DOAJ |
| description | 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’s role in enhancing patient engagement—through tailored monitoring and personalized treatment strategies—ensures 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. |
| format | Article |
| id | doaj-art-85e02e9599bd45eb9f9de7651ae17592 |
| institution | Kabale University |
| issn | 2038-8330 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Hematology Reports |
| spelling | doaj-art-85e02e9599bd45eb9f9de7651ae175922025-08-20T03:27:18ZengMDPI AGHematology Reports2038-83302025-04-011732410.3390/hematolrep17030024Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient ParticipationEmmanuel Andrès0Amir El Hassani Hajjam1Frédéric Maloisel2Maria Belén Alonso-Ortiz3Manuel Méndez-Bailón4Thierry Lavigne5Xavier Jannot6Noel Lorenzo-Villalba7Service de Médecine Interne, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, FranceLaboratoire de Nanomédecine Imagerie et Thérapeutique, Université de Technologie de Belfort Montbéliard, 25200 Belfort-Montbéliard, FranceService d’Hématologie, Clinique Saint-Anne, 67000 Strasbourg, FranceServicio de Medicina Interna, Hospital Universitario de Gran Canaria Dr Negrin, 35010 Las Palmas de Gran Canaria, SpainServicio de Medicina Interna, Hospital Universitario Clínico San Carlos, 28040 Madrid, SpainService d’Hygiène Hospitalière et Pôle de Santé Publique, Hôpital Civil, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, FranceService de Médecine Interne, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, FranceService de Médecine Interne, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, FranceDrug-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’s role in enhancing patient engagement—through tailored monitoring and personalized treatment strategies—ensures 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.https://www.mdpi.com/2038-8330/17/3/24artificial intelligencecytopeniamedicationidiosyncrasyanemiathombopenia |
| spellingShingle | Emmanuel Andrès Amir El Hassani Hajjam Frédéric Maloisel Maria Belén Alonso-Ortiz Manuel Méndez-Bailón Thierry Lavigne Xavier Jannot Noel Lorenzo-Villalba Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation Hematology Reports artificial intelligence cytopenia medication idiosyncrasy anemia thombopenia |
| title | Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation |
| title_full | Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation |
| title_fullStr | Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation |
| title_full_unstemmed | Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation |
| title_short | Artificial Intelligence (AI) and Drug-Induced and Idiosyncratic Cytopenia: The Role of AI in Prevention, Prediction, and Patient Participation |
| title_sort | artificial intelligence ai and drug induced and idiosyncratic cytopenia the role of ai in prevention prediction and patient participation |
| topic | artificial intelligence cytopenia medication idiosyncrasy anemia thombopenia |
| url | https://www.mdpi.com/2038-8330/17/3/24 |
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