Literature DB >> 33937001

Artificial intelligence, chest radiographs, and radiology trainees: a powerful combination to enhance the future of radiologists?

Carlo A Mallio1, Carlo C Quattrocchi1, Bruno Beomonte Zobel1, Paul M Parizel2.   

Abstract

Year:  2021        PMID： 33937001      PMCID： PMC8047344          DOI： 10.21037/qims-20-1306

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN： 2223-4306


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  14 in total

Review 1.  Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints.

Authors:  Ohad Oren; Bernard J Gersh; Deepak L Bhatt
Journal:  Lancet Digit Health       Date:  2020-09

2.  Radiologist Burnout Is Not Just Isolated to the United States: Perspectives From Canada.

Authors:  Nanxi Zha; Michael N Patlas; Richard Duszak
Journal:  J Am Coll Radiol       Date:  2018-09-17       Impact factor: 5.532

3.  Evaluating rehabilitation interventions in Parkinson's disease with functional MRI: a promising neuroprotective strategy.

Authors:  Carlo Augusto Mallio; Bruno Beomonte Zobel; Carlo Cosimo Quattrocchi
Journal:  Neural Regen Res       Date:  2015-05       Impact factor: 5.135

Review 4.  Artificial intelligence in radiology.

Authors:  Ahmed Hosny; Chintan Parmar; John Quackenbush; Lawrence H Schwartz; Hugo J W L Aerts
Journal:  Nat Rev Cancer       Date:  2018-08       Impact factor: 60.716

5.  COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System.

Authors:  Keelin Murphy; Henk Smits; Arnoud J G Knoops; Michael B J M Korst; Tijs Samson; Ernst T Scholten; Steven Schalekamp; Cornelia M Schaefer-Prokop; Rick H H M Philipsen; Annet Meijers; Jaime Melendez; Bram van Ginneken; Matthieu Rutten
Journal:  Radiology       Date:  2020-05-08       Impact factor: 11.105

6.  Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.

Authors:  Ivo M Baltruschat; Hannes Nickisch; Michael Grass; Tobias Knopp; Axel Saalbach
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

Review 7.  Artificial intelligence in cancer imaging: Clinical challenges and applications.

Authors:  Wenya Linda Bi; Ahmed Hosny; Matthew B Schabath; Maryellen L Giger; Nicolai J Birkbak; Alireza Mehrtash; Tavis Allison; Omar Arnaout; Christopher Abbosh; Ian F Dunn; Raymond H Mak; Rulla M Tamimi; Clare M Tempany; Charles Swanton; Udo Hoffmann; Lawrence H Schwartz; Robert J Gillies; Raymond Y Huang; Hugo J W L Aerts
Journal:  CA Cancer J Clin       Date:  2019-02-05       Impact factor: 508.702

8.  Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.

Authors:  Emanuele Neri; Vittorio Miele; Francesca Coppola; Roberto Grassi
Journal:  Radiol Med       Date:  2020-04-29       Impact factor: 3.469

9.  Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system.

Authors:  Keelin Murphy; Shifa Salman Habib; Syed Mohammad Asad Zaidi; Saira Khowaja; Aamir Khan; Jaime Melendez; Ernst T Scholten; Farhan Amad; Steven Schalekamp; Maurits Verhagen; Rick H H M Philipsen; Annet Meijers; Bram van Ginneken
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.996
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  1 in total

Review 1.  Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review.

Authors:  Federico Greco; Rodrigo Salgado; Wim Van Hecke; Romualdo Del Buono; Paul M Parizel; Carlo Augusto Mallio
Journal:  Quant Imaging Med Surg       Date:  2022-03
  1 in total

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