Literature DB >> 29321109

How artificial intelligence could transform emergency department operations.

Yosef Berlyand1, Ali S Raja2, Stephen C Dorner3, Anand M Prabhakar4, Jonathan D Sonis2, Ravi V Gottumukkala4, Marc David Succi5, Brian J Yun6.   

Abstract

Keywords:  Artificial intelligence; Emergency department operations; Emergency medicine; Emergency radiology; Machine learning; Natural language processing; Triage

Mesh：

Year:  2018        PMID： 29321109     DOI： 10.1016/j.ajem.2018.01.017

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN： 0735-6757            Impact factor:   2.469


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  14 in total

1.  Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images.

Authors:  Dan Li; Chuda Xiao; Yang Liu; Zhuo Chen; Haseeb Hassan; Liyilei Su; Jun Liu; Haoyu Li; Weiguo Xie; Wen Zhong; Bingding Huang
Journal:  Diagnostics (Basel)       Date:  2022-07-23

2.  Influence of artificial intelligence on the work design of emergency department clinicians a systematic literature review.

Authors:  Albert Boonstra; Mente Laven
Journal:  BMC Health Serv Res       Date:  2022-05-18       Impact factor: 2.908

3.  Urinary Stone Detection on CT Images Using Deep Convolutional Neural Networks: Evaluation of Model Performance and Generalization.

Authors:  Anushri Parakh; Hyunkwang Lee; Jeong Hyun Lee; Brian H Eisner; Dushyant V Sahani; Synho Do
Journal:  Radiol Artif Intell       Date:  2019-07-24

4.  Strategies for improving physician documentation in the emergency department: a systematic review.

Authors:  Diane L Lorenzetti; Hude Quan; Kelsey Lucyk; Ceara Cunningham; Deirdre Hennessy; Jason Jiang; Cynthia A Beck
Journal:  BMC Emerg Med       Date:  2018-10-25

5.  Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

Authors:  J Wolff; A Gary; D Jung; C Normann; K Kaier; H Binder; K Domschke; A Klimke; M Franz
Journal:  BMC Med Inform Decis Mak       Date:  2020-02-06       Impact factor: 2.796

6.  Artificial intelligence in emergency medicine: A scoping review.

Authors:  Abirami Kirubarajan; Ahmed Taher; Shawn Khan; Sameer Masood
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-11-07

7.  Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

Authors:  Tadahiro Goto; Carlos A Camargo; Mohammad Kamal Faridi; Robert J Freishtat; Kohei Hasegawa
Journal:  JAMA Netw Open       Date:  2019-01-04

8.  Deployment of artificial intelligence for radiographic diagnosis of COVID-19 pneumonia in the emergency department.

Authors:  Morgan Carlile; Brian Hurt; Albert Hsiao; Michael Hogarth; Christopher A Longhurst; Christian Dameff
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-11-05

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.  A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study.

Authors:  Chi-Tung Cheng; Chih-Chi Chen; Fu-Jen Cheng; Huan-Wu Chen; Yi-Siang Su; Chun-Nan Yeh; I-Fang Chung; Chien-Hung Liao
Journal:  JMIR Med Inform       Date:  2020-11-27
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