| Home | E-Submission | Sitemap | Contact Us |  
Search
Clin Exp Emerg Med Search

CLOSE

Clin Exp Emerg Med Search > Browse Articles > Search



Cardiovascular, Digital health & Informatics
ROMIAE (Rule-Out Acute Myocardial Infarction Using Artificial Intelligence Electrocardiogram Analysis) trial study protocol: a prospective multicenter observational study for validation of a deep learning–based 12-lead electrocardiogram analysis model for detecting acute myocardial infarction in patients visiting the emergency department
Tae Gun Shin, Youngjoo Lee, Kyuseok Kim, Min Sung Lee, Joon-myoung Kwon, on behalf of the ROMIAE study group
Clin Exp Emerg Med. 2023;10(4):438-445.   Published online November 28, 2023
DOI: https://doi.org/10.15441/ceem.22.360
                        
Imaging, Orthopedics
Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room
Min Woong Kim, Jaewon Jung, Se Jin Park, Young Sun Park, Jeong Hyeon Yi, Won Seok Yang, Jin Hyuck Kim, Bum-Joo Cho, Sang Ook Ha
Clin Exp Emerg Med. 2021;8(2):120-127.   Published online June 30, 2021
DOI: https://doi.org/10.15441/ceem.20.091
                           Web of Science 7  Crossref 6
1 |
E-Submission
Email Alert
Journal Impact Factor 1.9
SCImago Journal & Country Rank

Publishing timeline

Editorial decision
4 Days

Review time
28 Days

Acceptance to publication
64 Days

* Last 12 months

PubMed Central
pubmed
Scopus
embase
DOAJ
google_scholar
koreamed
ksem
ban_inno
ban_bd
ban_heuron
ban_pharmbio
ban_kcp
ban_roche
ban_teleflex
Editorial Office
The Korean Society of Emergency Medicine
101-3104, Brownstone Seoul, 464 Cheongpa-ro, Jung-gu, Seoul 04510, Korea
TEL: +82-31-709-0918   E-mail: office@ceemjournal.org
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © by The Korean Society of Emergency Medicine.                 Developed in M2PI