Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022-Reference-Cited by-同舟云学术

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022

Published:2023-11-10 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Koç Ural,Sezer Ebru Akçapınar,Özkaya Yaşar Alper,Yarbay Yasin,Beşler Muhammed Said,Taydaş Onur,Yalçın Ahmet,Evrimler Şehnaz,Kızıloğlu Hüseyin Alper,Kesimal Uğur,Atasoy Dilara,Oruç Meltem,Ertuğrul Mustafa,Karakaş Emrah,Karademir Fatih,Sebik Nihat Barış,Topuz Yasemin,Aktan Mehmet Emin,Sezer Özgür,Aydın Şahin,Varlı Songül,Akdoğan Erhan,Ülgü Mustafa Mahir,Birinci Şuayip

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10391-y.pdf

Reference21 articles.

1. Koç U, Akçapınar Sezer E, Özkaya YA et al (2022) Artificial intelligence in healthcare competition (TEKNOFEST-2021): stroke data set. Eurasian J Med 54:248–258

2. Dadeh AA (2022) Factors associated with unfavorable outcomes in patients with acute abdominal pain visiting the emergency department. BMC Emerg Med 22:195

3. Cervellin G, Mora R, Ticinesi A et al (2016) Epidemiology and outcomes of acute abdominal pain in a large urban emergency department: retrospective analysis of 5,340 cases. Ann Transl Med 4:362

4. Patterson JW, Kashyap S, Dominique E (2023) Acute AbdomenStatPearls. StatPearls Publishing, Treasure Island (FL)

5. Summers RM (2016) Progress in fully automated abdominal CT interpretation. AJR Am J Roentgenol 207:67–79

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