2026, Number S1
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Rev Mex Med Transfus 2026; 18 (S1)
Investigación y perspectivas actuales sobre el uso de inteligencia artificial en medicina transfusional
Jiménez-González MC, García-Jiménez L
Language: Spanish
References: 6
Page: s85-s86
PDF size: 127.34 Kb.
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No abstract.
REFERENCES
Cognasse F, Avril S, Fleck JL, Hamzeh-Cognasse H. ArtificialIntelligence in transfusion medicine: a paradigm shift on thehorizon. Blood Transfus. 2025; 23 (6): 558-561. doi: 10.2450/BloodTransfus.1042.
Oriaku I, Okechukwu O, Okeoma OI, Gab-Obinna C, Bala JI,Adejumobi AM et al. Artificial intelligence in transfusion medicine:current applications, opportunities, and challenges. EpidemiolHealth Data Insights. 2025; 1 (6): ehdi023. doi: 10.63946/ehdi/17470.
Barzilai M, Cohen O. AI Applications in transfusion medicine:opportunities, challenges, and future directions. Acta Haematol.2025; 148 (5): 516-526. doi: 10.1159/000546303.
Lewin A, Rochette S, Shih AW, Tinmouth A, Chassé M, O’Brien SF etal. Vein-to-vein databases: uses and considerations in transfusionresearch. Transfus Med Rev. 2026; 40 (1):150936. doi: 10.1016/j.tmrv.2025.150936.
Westhoff CM, Floch A. Blood group genotype matching fortransfusion. Br J Haematol. 2025; 206 (1): 18-32. doi: 10.1111/bjh.19664.
García Erce JA, Zalba Marcos S, Cerdán G, Ripollés-MelchorJ. Medical and economic impact of a regional Patient BloodManagement program in Navarre, Spain (2016-2025). Med Clin(Barc). 2026; 166 (8): 107454.
Full text
10.35366/124192