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Assessing the readability, reliability, and quality of arti..:
Ömür Arça, Dilek
;
Erdemir, İsmail
;
Kara, Fevzi
...
Medicine. 103 (2024) 22 - p. e38352 , 2024
Link:
https://doi.org/10.1097/md.0000000000038352
RT Journal T1
Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1097_md.0000000000038352&Exemplar=1&LAN=DE A1 Ömür Arça, Dilek A1 Erdemir, İsmail A1 Kara, Fevzi A1 Shermatov, Nurgazy A1 Odacioğlu, Mürüvvet A1 İbişoğlu, Emel A1 Hanci, Ferid Baran A1 Sağiroğlu, Gönül A1 Hanci, Volkan PB Ovid Technologies (Wolters Kluwer Health) YR 2024 SN 0025-7974 SN 1536-5964 JF Medicine VO 103 IS 22 SP e38352 LK http://dx.doi.org/https://doi.org/10.1097/md.0000000000038352 DO https://doi.org/10.1097/md.0000000000038352 SF ELIB - SuUB Bremen
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