Richard R Gammon, Salwa Hindawi, Arwa Z Al-Riyami, Ai Leen Ang, Renee Bazin, Evan M Bloch, Kelley Counts, Vincenzo de Angelis, Ruchika Goel, Rada M Grubovic Rastvorceva, Ilaria Pati, Cheuk-Kwong Lee, Massimo La Raja, Carlo Mengoli, Adaeze Oreh, Gopal Kumar Patidar, Naomi Rahimi-Levene, Usharee Ravula, Karl Rexer, Cynthia So-Osman, Jecko Thachil, Michel Toungouz Nevessignsky, Marion Vermeulen
Artificial intelligence (AI) uses sophisticated algorithms to "learn" from large volumes of data. This could be used to optimise recruitment of blood donors through predictive modelling of future blood supply, based on previous donation and transfusion demand. We sought to assess utilisation of predictive modelling and AI blood establishments (BE) and conducted predictive modelling to illustrate its use. A BE survey of data modelling and AI was disseminated to the International Society of Blood transfusion members...
August 8, 2024: Transfusion Medicine