Literature DB >> 30014578

Artificial intelligence and machine learning in emergency medicine.

Jonathon Stewart1, Peter Sprivulis1, Girish Dwivedi1.   

Abstract

Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in computing power. AI is proving to be increasingly applicable to healthcare and there is a growing list of tasks where algorithms have matched or surpassed physician performance. Despite the successes there remain significant concerns and challenges surrounding algorithm opacity, trust and patient data security. Notwithstanding these challenges, AI technologies will likely become increasingly integrated into emergency medicine in the coming years. This perspective presents an overview of current AI research relevant to emergency medicine.
© 2018 Australasian College for Emergency Medicine.

Entities:  

Keywords:  artificial intelligence; deep learning; emergency medicine; machine learning

Mesh:

Year:  2018        PMID: 30014578     DOI: 10.1111/1742-6723.13145

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  20 in total

1.  Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.

Authors:  Haley S Hunter-Zinck; Jordan S Peck; Tania D Strout; Stephan A Gaehde
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

2.  A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.

Authors:  Maximiliano Klug; Yiftach Barash; Sigalit Bechler; Yehezkel S Resheff; Talia Tron; Avi Ironi; Shelly Soffer; Eyal Zimlichman; Eyal Klang
Journal:  J Gen Intern Med       Date:  2019-11-01       Impact factor: 5.128

3.  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

4.  Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma.

Authors:  Aaron E Kornblith; Newton Addo; Ruolei Dong; Robert Rogers; Jacqueline Grupp-Phelan; Atul Butte; Pavan Gupta; Rachael A Callcut; Rima Arnaout
Journal:  J Ultrasound Med       Date:  2021-11-06       Impact factor: 2.754

5.  Artificial intelligence in radiology: Are Saudi residents ready, prepared, and knowledgeable?

Authors:  Mawya A Khafaji; Mohammed A Safhi; Roia H Albadawi; Salma O Al-Amoudi; Salah S Shehata; Fadi Toonsi
Journal:  Saudi Med J       Date:  2022-01       Impact factor: 1.422

6.  Cytokines and Chemokines in Pediatric Appendicitis: A Multiplex Analysis of Inflammatory Protein Mediators.

Authors:  S Ali Naqvi; Graham C Thompson; Ari R Joffe; Jaime Blackwood; Dori-Ann Martin; Mary Brindle; Herman W Barkema; Craig N Jenne
Journal:  Mediators Inflamm       Date:  2019-02-21       Impact factor: 4.711

7.  Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology.

Authors:  Alejandro Rodríguez-González; Massimiliano Zanin; Ernestina Menasalvas-Ruiz
Journal:  Yearb Med Inform       Date:  2019-08-16

Review 8.  Artificial intelligence in reproductive medicine.

Authors:  Renjie Wang; Wei Pan; Lei Jin; Yuehan Li; Yudi Geng; Chun Gao; Gang Chen; Hui Wang; Ding Ma; Shujie Liao
Journal:  Reproduction       Date:  2019-10       Impact factor: 3.906

9.  Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients.

Authors:  Sae Won Choi; Taehoon Ko; Ki Jeong Hong; Kyung Hwan Kim
Journal:  Healthc Inform Res       Date:  2019-10-31

10.  Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Authors:  Serkan Nas; Melik Koyuncu
Journal:  Comput Math Methods Med       Date:  2019-11-15       Impact factor: 2.238

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