img
img
Reader comment regarding: Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department   
Yazarlar (4)
Erhan Arıkan
Bilecik Şeyh Edebali Üniversitesi, Türkiye
Faik Özel
Bilecik Şeyh Edebali Üniversitesi, Türkiye
Arş. Gör. Ahmet ARDAHANLI Arş. Gör. Ahmet ARDAHANLI
Kafkas Üniversitesi, Türkiye
İsa Ardahanlı
Bilecik Şeyh Edebali Üniversitesi, Türkiye
Devamını Göster
Özet
Reader comment regarding: Diagnostic accuracy of artificial intelligence for identifying systolic
and diastolic cardiac dysfunction in the emergency department. - Abstract - Europe PMC Sign
in | Create an account https://orcid.org Europe PMC Menu About Tools Developers Help
Contact us Helpdesk Feedback Twitter Blog Tech blog Developer Forum Europe PMC plus
Search life-sciences literature (46,584,896 articles, preprints and more) Search Advanced
search | Recent history Feedback This website requires cookies, and the limited processing of
your personal data in order to function. By using the site you are agreeing to this as outlined in
our privacy notice and cookie policy. Abstract Full text References Reader comment regarding:
Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac
dysfunction in the emergency department. Arıkan E 1 , Özel F 2 , Ardahanlı A 3 , Ardahanlı İ 4 …
Anahtar Kelimeler
Makale Türü Diğer (Teknik, not, yorum, vaka takdimi, editöre mektup, özet, kitap krıtiği, araştırma notu, bilirkişi raporu ve benzeri)
Makale Alt Türü SCI, SSCI, AHCI, SCI-Exp dergilerinde yayınlanan teknik not, editöre mektup, tartışma, vaka takdimi ve özet türünden makale
Dergi Adı The American Journal of Emergency Medicine
Dergi ISSN 0735-6757 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili Türkçe
Basım Tarihi 05-2025
Cilt No 91
Doi Numarası 10.1016/j.ajem.2024.11.087
Makale Linki https://doi.org/10.1016/j.ajem.2024.11.087