Literature DB >> 28826960

Artificial Intelligence: Threat or Boon to Radiologists?

Michael Recht1, R Nick Bryan2.   

Abstract

The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiology. But rather than being a significant threat to radiologists, we believe these changes, particularly machine learning/artificial intelligence, will be a boon to radiologists by increasing their value, efficiency, accuracy, and personal satisfaction.
Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Keywords:  Machine learning; artificial intelligence; computer-assisted diagnosis/detection; efficiency; value

Mesh:

Year:  2017        PMID: 28826960     DOI: 10.1016/j.jacr.2017.07.007

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  19 in total

Review 1.  Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future.

Authors:  Muhammad Javed Iqbal; Zeeshan Javed; Haleema Sadia; Ijaz A Qureshi; Asma Irshad; Rais Ahmed; Kausar Malik; Shahid Raza; Asif Abbas; Raffaele Pezzani; Javad Sharifi-Rad
Journal:  Cancer Cell Int       Date:  2021-05-21       Impact factor: 5.722

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

Authors:  Mauro Annarumma; Samuel J Withey; Robert J Bakewell; Emanuele Pesce; Vicky Goh; Giovanni Montana
Journal:  Radiology       Date:  2019-01-22       Impact factor: 11.105

3.  A brief introduction to concepts and applications of artificial intelligence in dental imaging.

Authors:  Ruben Pauwels
Journal:  Oral Radiol       Date:  2020-08-16       Impact factor: 1.852

Review 4.  Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.

Authors:  Ling Yang; Ioana Cezara Ene; Reza Arabi Belaghi; David Koff; Nina Stein; Pasqualina Lina Santaguida
Journal:  Eur Radiol       Date:  2021-09-21       Impact factor: 5.315

Review 5.  Artificial Intelligence: A Primer for Breast Imaging Radiologists.

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2020-06-19

Review 6.  Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States.

Authors:  Filippo Pesapane; Caterina Volonté; Marina Codari; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-15

7.  The impact of artificial intelligence in medicine on the future role of the physician.

Authors:  Abhimanyu S Ahuja
Journal:  PeerJ       Date:  2019-10-04       Impact factor: 2.984

Review 8.  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

9.  Artificial intelligence: more human with human.

Authors:  Moshe Sipper; Jason H Moore
Journal:  BioData Min       Date:  2017-12-01       Impact factor: 2.522

Review 10.  Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors:  Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal:  Eur Radiol Exp       Date:  2018-10-24
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