Literature DB >> 28280932

Bits and bytes: the future of radiology lies in informatics and information technology.

James A Brink1, Ronald L Arenson2, Thomas M Grist3, Jonathan S Lewin4, Dieter Enzmann5.   

Abstract

Advances in informatics and information technology are sure to alter the practice of medical imaging and image-guided therapies substantially over the next decade. Each element of the imaging continuum will be affected by substantial increases in computing capacity coincident with the seamless integration of digital technology into our society at large. This article focuses primarily on areas where this IT transformation is likely to have a profound effect on the practice of radiology. KEY POINTS: • Clinical decision support ensures consistent and appropriate resource utilization. • Big data enables correlation of health information across multiple domains. • Data mining advances the quality of medical decision-making. • Business analytics allow radiologists to maximize the benefits of imaging resources.

Keywords:  Artificial intelligence; Clinical decision support; Data mining; Information technology; Medical informatics

Mesh:

Year:  2017        PMID: 28280932     DOI: 10.1007/s00330-016-4688-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  9 in total

1.  Decision support for radiologist report recommendations.

Authors:  Giles W L Boland; James H Thrall; G Scott Gazelle; Anthony Samir; Daniel I Rosenthal; Keith J Dreyer; Tarik K Alkasab
Journal:  J Am Coll Radiol       Date:  2011-12       Impact factor: 5.532

2.  Radiologist Point-of-Care Clinical Decision Support and Adherence to Guidelines for Incidental Lung Nodules.

Authors:  Michael T Lu; David A Rosman; Carol C Wu; Matthew D Gilman; H Benjamin Harvey; Debra A Gervais; Tarik K Alkasab; Jo-Anne O Shepard; Giles W Boland; Pari V Pandharipande
Journal:  J Am Coll Radiol       Date:  2015-11-11       Impact factor: 5.532

3.  A test for consciousness.

Authors:  Christof Koch; Giulio Tononi
Journal:  Sci Am       Date:  2011-06       Impact factor: 2.142

4.  Business intelligence for the radiologist: making your data work for you.

Authors:  Tessa S Cook; Paul Nagy
Journal:  J Am Coll Radiol       Date:  2014-12-01       Impact factor: 5.532

Review 5.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

Review 6.  Natural Language Processing in Oncology: A Review.

Authors:  Wen-Wai Yim; Meliha Yetisgen; William P Harris; Sharon W Kwan
Journal:  JAMA Oncol       Date:  2016-06-01       Impact factor: 31.777

7.  Effect of computerized order entry with integrated decision support on the growth of outpatient procedure volumes: seven-year time series analysis.

Authors:  Christopher L Sistrom; Pragya A Dang; Jeffrey B Weilburg; Keith J Dreyer; Daniel I Rosenthal; James H Thrall
Journal:  Radiology       Date:  2009-02-12       Impact factor: 11.105

8.  Impact of provider-led, technology-enabled radiology management program on imaging.

Authors:  Ivan K Ip; Louise Schneider; Steven Seltzer; Allen Smith; Jessica Dudley; Andrew Menard; Ramin Khorasani
Journal:  Am J Med       Date:  2013-06-17       Impact factor: 4.965

9.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

  9 in total
  6 in total

1.  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

Review 2.  Deep learning in fracture detection: a narrative review.

Authors:  Pishtiwan H S Kalmet; Sebastian Sanduleanu; Sergey Primakov; Guangyao Wu; Arthur Jochems; Turkey Refaee; Abdalla Ibrahim; Luca V Hulst; Philippe Lambin; Martijn Poeze
Journal:  Acta Orthop       Date:  2020-01-13       Impact factor: 3.717

3.  ESR concept paper on value-based radiology.

Authors: 
Journal:  Insights Imaging       Date:  2017-08-30

4.  Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Authors:  Mark Bukowski; Robert Farkas; Oya Beyan; Lorna Moll; Horst Hahn; Fabian Kiessling; Thomas Schmitz-Rode
Journal:  Eur Radiol       Date:  2020-05-06       Impact factor: 5.315

Review 5.  Global Challenges for Cancer Imaging.

Authors:  Heinz-Peter Schlemmer; Leonardo K Bittencourt; Melvin D'Anastasi; Romeu Domingues; Pek-Lan Khong; Zarina Lockhat; Ada Muellner; Maximilian F Reiser; Richard L Schilsky; Hedvig Hricak
Journal:  J Glob Oncol       Date:  2017-09-08

Review 6.  The Bionic Radiologist: avoiding blurry pictures and providing greater insights.

Authors:  Marc Dewey; Uta Wilkens
Journal:  NPJ Digit Med       Date:  2019-07-09
  6 in total

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