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Assessing AI-driven tools as a method for cardiopulmonary r..:
Al Akeel, M
;
Notta, SN
;
AlHuneafat, L
..
The American Journal of the Medical Sciences. 367 (2024) - p. S333-S334 , 2024
Link:
https://doi.org/10.1016/s0002-9629(24)00610-4
RT Journal T1 <Title>Assessing AI-driven tools as a method for cardiopulmonary resuscitation for non-healthcare workers</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s0002-9629(24)00610-4&Exemplar=1&LAN=DE A1 Al Akeel, M A1 Notta, SN A1 AlHuneafat, L A1 Hashem, A A1 Jbara, M PB Elsevier BV YR 2024 SN 0002-9629 JF The American Journal of the Medical Sciences VO 367 SP S333 OP S334 LK http://dx.doi.org/https://doi.org/10.1016/s0002-9629(24)00610-4 DO https://doi.org/10.1016/s0002-9629(24)00610-4 SF ELIB - SuUB Bremen
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