Literature DB >> 30897046

Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks.

Mauro Annarumma, Samuel J Withey, Robert J Bakewell, Emanuele Pesce, Vicky Goh, Giovanni Montana.   

Abstract

Year:  2019        PMID： 30897046      PMCID： PMC7006769          DOI： 10.1148/radiol.2019194005

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  5 in total

Review 1.  Artificial intelligence in diagnostic imaging: impact on the radiography profession.

Authors:  Maryann Hardy; Hugh Harvey
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

2.  An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images.

Authors:  Somenath Chakraborty; Beddhu Murali; Amal K Mitra
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

3.  Machine learning outperforms clinical experts in classification of hip fractures.

Authors:  E A Murphy; B Ehrhardt; C L Gregson; O A von Arx; A Hartley; M R Whitehouse; M S Thomas; G Stenhouse; T J S Chesser; C J Budd; H S Gill
Journal:  Sci Rep       Date:  2022-02-08       Impact factor: 4.379

4.  Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.

Authors:  Hyunsuk Yoo; Eun Young Kim; Hyungjin Kim; Ye Ra Choi; Moon Young Kim; Sung Ho Hwang; Young Joong Kim; Young Jun Cho; Kwang Nam Jin
Journal:  Korean J Radiol       Date:  2022-10       Impact factor: 7.109

5.  Supervised and unsupervised language modelling in Chest X-Ray radiological reports.

Authors:  Ignat Drozdov; Daniel Forbes; Benjamin Szubert; Mark Hall; Chris Carlin; David J Lowe
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240
  5 in total

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