Literature DB >> 33937824

The Case for User-Centered Artificial Intelligence in Radiology.

Ross W Filice1, Raj M Ratwani1.   

Abstract

Past technology transition successes and failures have demonstrated the importance of user-centered design and the science of human factors; these approaches will be critical to the success of artificial intelligence in radiology. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID： 33937824      PMCID： PMC8082296          DOI： 10.1148/ryai.2020190095

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


  9 in total

1.  The First Anniversary of the Health Information Technology for Economic and Clinical Health (HITECH) Act: the regulatory outlook for implementation.

Authors:  Melissa M Goldstein; Hyatt Thorpe Jane
Journal:  Perspect Health Inf Manag       Date:  2010-09-01

2.  Identifying Electronic Health Record Usability And Safety Challenges In Pediatric Settings.

Authors:  Raj M Ratwani; Erica Savage; Amy Will; Allan Fong; Dean Karavite; Naveen Muthu; A Joy Rivera; Cori Gibson; Don Asmonga; Ben Moscovitch; Robert Grundmeier; Josh Rising
Journal:  Health Aff (Millwood)       Date:  2018-11       Impact factor: 6.301

3.  Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors.

Authors:  Raj M Ratwani; Rollin J Fairbanks; A Zachary Hettinger; Natalie C Benda
Journal:  J Am Med Inform Assoc       Date:  2015-06-06       Impact factor: 4.497

Review 4.  Migrating to the Modern PACS: Challenges and Opportunities.

Authors:  Seth J Berkowitz; Jesse L Wei; Safwan Halabi
Journal:  Radiographics       Date:  2018-10       Impact factor: 5.333

Review 5.  Current Applications and Future Impact of Machine Learning in Radiology.

Authors:  Garry Choy; Omid Khalilzadeh; Mark Michalski; Synho Do; Anthony E Samir; Oleg S Pianykh; J Raymond Geis; Pari V Pandharipande; James A Brink; Keith J Dreyer
Journal:  Radiology       Date:  2018-06-26       Impact factor: 11.105

6.  Machine Learning in Radiology: Applications Beyond Image Interpretation.

Authors:  Paras Lakhani; Adam B Prater; R Kent Hutson; Kathy P Andriole; Keith J Dreyer; Jose Morey; Luciano M Prevedello; Toshi J Clark; J Raymond Geis; Jason N Itri; C Matthew Hawkins
Journal:  J Am Coll Radiol       Date:  2017-11-17       Impact factor: 5.532

7.  Electronic Health Record Usability Issues and Potential Contribution to Patient Harm.

Authors:  Jessica L Howe; Katharine T Adams; A Zachary Hettinger; Raj M Ratwani
Journal:  JAMA       Date:  2018-03-27       Impact factor: 56.272

Review 8.  Improving the radiologist-CAD interaction: designing for appropriate trust.

Authors:  W Jorritsma; F Cnossen; P M A van Ooijen
Journal:  Clin Radiol       Date:  2014-10-30       Impact factor: 2.350

9.  The Impact of Interruptions on Chest Radiograph Interpretation: Effects on Reading Time and Accuracy.

Authors:  Rachel M Wynn; Jessica L Howe; Linda C Kelahan; Allan Fong; Ross W Filice; Raj M Ratwani
Journal:  Acad Radiol       Date:  2018-03-28       Impact factor: 3.173
  9 in total

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