Literature DB >> 36221962

Artificial intelligence decision points in an emergency department.

Hansol Chang1,2, Won Chul Cha1,2,3.   

Abstract

Entities:  

Year:  2022        PMID： 36221962      PMCID： PMC9561198          DOI： 10.15441/ceem.22.366

Source DB:  PubMed          Journal:  Clin Exp Emerg Med        ISSN： 2383-4625


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  33 in total

Review 1.  International perspectives on emergency department crowding.

Authors:  Jesse M Pines; Joshua A Hilton; Ellen J Weber; Annechien J Alkemade; Hasan Al Shabanah; Philip D Anderson; Michael Bernhard; Alessio Bertini; André Gries; Santiago Ferrandiz; Vijaya Arun Kumar; Veli-Pekka Harjola; Barbara Hogan; Bo Madsen; Suzanne Mason; Gunnar Ohlén; Timothy Rainer; Niels Rathlev; Eric Revue; Drew Richardson; Mehdi Sattarian; Michael J Schull
Journal:  Acad Emerg Med       Date:  2011-12       Impact factor: 3.451

2.  The effects of emergency department crowding on triage and hospital admission decisions.

Authors:  Wanyi Chen; Benjamin Linthicum; Nilay Tanik Argon; Thomas Bohrmann; Kenneth Lopiano; Abhi Mehrotra; Debbie Travers; Serhan Ziya
Journal:  Am J Emerg Med       Date:  2019-06-26       Impact factor: 2.469

3.  Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Authors:  Eui Jin Hwang; Ju Gang Nam; Woo Hyeon Lim; Sae Jin Park; Yun Soo Jeong; Ji Hee Kang; Eun Kyoung Hong; Taek Min Kim; Jin Mo Goo; Sunggyun Park; Ki Hwan Kim; Chang Min Park
Journal:  Radiology       Date:  2019-10-22       Impact factor: 11.105

4.  Machine Learning to Predict In-Hospital Morbidity and Mortality after Traumatic Brain Injury.

Authors:  Kazuya Matsuo; Hideo Aihara; Tomoaki Nakai; Akitsugu Morishita; Yoshiki Tohma; Eiji Kohmura
Journal:  J Neurotrauma       Date:  2019-09-18       Impact factor: 5.269

5.  Validation of deep-learning-based triage and acuity score using a large national dataset.

Authors:  Joon-Myoung Kwon; Youngnam Lee; Yeha Lee; Seungwoo Lee; Hyunho Park; Jinsik Park
Journal:  PLoS One       Date:  2018-10-15       Impact factor: 3.240

Review 6.  Deep Learning in the Medical Domain: Predicting Cardiac Arrest Using Deep Learning.

Authors:  Youngnam Lee; Joon-Myoung Kwon; Yeha Lee; Hyunho Park; Hugh Cho; Jinsik Park
Journal:  Acute Crit Care       Date:  2018-08-31

7.  Machine learning for selecting patients with Crohn's disease for abdominopelvic computed tomography in the emergency department.

Authors:  Tom Konikoff; Idan Goren; Marianna Yalon; Shlomit Tamir; Irit Avni-Biron; Henit Yanai; Iris Dotan; Jacob E Ollech
Journal:  Dig Liver Dis       Date:  2021-07-09       Impact factor: 4.088

Review 8.  Prehospital care for traumatic spinal cord injury by first responders in 8 sub-Saharan African countries and 6 other low- and middle-income countries: A scoping review.

Authors:  Zachary J Eisner; Peter G Delaney; Patricia Widder; Ilyas S Aleem; Denise G Tate; Krishnan Raghavendran; John W Scott
Journal:  Afr J Emerg Med       Date:  2021-06-06

9.  Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review.

Authors:  Jamie Miles; Janette Turner; Richard Jacques; Julia Williams; Suzanne Mason
Journal:  Diagn Progn Res       Date:  2020-10-02

10.  XGBoost Algorithm Prediction of Critical Care Outcome for Adult Patients Presenting to Emergency Department Using Initial Triage Information.

Authors:  Hyoungju Yun; Jinwook Choi; Jeong Ho Park
Journal:  JMIR Med Inform       Date:  2021-07-27
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