Literature DB >> 33937794

Will Artificial Intelligence Replace Radiologists?

Curtis P Langlotz1.   

Abstract

Year:  2019        PMID： 33937794      PMCID： PMC8017417          DOI： 10.1148/ryai.2019190058

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


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  16 in total

Review 1.  Diffusion of computer-aided mammography after mandated Medicare coverage.

Authors:  Joshua J Fenton; Susan Bartlett Foote; Pamela Green; Laura-Mae Baldwin
Journal:  Arch Intern Med       Date:  2010-06-14

Review 2.  An image-based approach to understanding the physics of MR artifacts.

Authors:  John N Morelli; Val M Runge; Fei Ai; Ulrike Attenberger; Lan Vu; Stuart H Schmeets; Wolfgang R Nitz; John E Kirsch
Journal:  Radiographics       Date:  2011 May-Jun       Impact factor: 5.333

Review 3.  Deep learning.

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

4.  Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.

Authors:  Paras Lakhani; Baskaran Sundaram
Journal:  Radiology       Date:  2017-04-24       Impact factor: 11.105

5.  Deep Learning-A Technology With the Potential to Transform Health Care.

Authors:  Geoffrey Hinton
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

6.  Variability in the interpretation of screening mammograms by US radiologists. Findings from a national sample.

Authors:  C A Beam; P M Layde; D C Sullivan
Journal:  Arch Intern Med       Date:  1996-01-22

7.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

8.  Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection.

Authors:  Constance D Lehman; Robert D Wellman; Diana S M Buist; Karla Kerlikowske; Anna N A Tosteson; Diana L Miglioretti
Journal:  JAMA Intern Med       Date:  2015-11       Impact factor: 21.873

9.  A computer-assisted medical diagnostic consultation service. Implementation and prospective evaluation of a prototype.

Authors:  R A Bankowitz; M A McNeil; S M Challinor; R C Parker; W N Kapoor; R A Miller
Journal:  Ann Intern Med       Date:  1989-05-15       Impact factor: 25.391

10.  Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

Authors:  Nicholas Bien; Pranav Rajpurkar; Robyn L Ball; Jeremy Irvin; Allison Park; Erik Jones; Michael Bereket; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Safwan Halabi; Evan Zucker; Gary Fanton; Derek F Amanatullah; Christopher F Beaulieu; Geoffrey M Riley; Russell J Stewart; Francis G Blankenberg; David B Larson; Ricky H Jones; Curtis P Langlotz; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-27       Impact factor: 11.069
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  10 in total

1.  Do We Expect More from Radiology AI than from Radiologists?

Authors:  Maciej A Mazurowski
Journal:  Radiol Artif Intell       Date:  2021-03-17

Review 2.  Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.

Authors:  Cheryl Beegle; Navid Hasani; Roberto Maass-Moreno; Babak Saboury; Eliot Siegel
Journal:  PET Clin       Date:  2022-01

3.  The Cases for and against Artificial Intelligence in the Medical School Curriculum.

Authors:  Brandon Ngo; Diep Nguyen; Eric vanSonnenberg
Journal:  Radiol Artif Intell       Date:  2022-08-17

Review 4.  Artificial Intelligence Applications in Health Care Practice: Scoping Review.

Authors:  Malvika Sharma; Carl Savage; Monika Nair; Ingrid Larsson; Petra Svedberg; Jens M Nygren
Journal:  J Med Internet Res       Date:  2022-10-05       Impact factor: 7.076

5.  European Society of Paediatric Radiology Artificial Intelligence taskforce: a new taskforce for the digital age.

Authors:  Lene Bjerke Laborie; Jaishree Naidoo; Erika Pace; Pierluigi Ciet; Christine Eade; Matthias W Wagner; Thierry A G M Huisman; Susan C Shelmerdine
Journal:  Pediatr Radiol       Date:  2022-06-22

6.  Artificial intelligence in radiology: Are Saudi residents ready, prepared, and knowledgeable?

Authors:  Mawya A Khafaji; Mohammed A Safhi; Roia H Albadawi; Salma O Al-Amoudi; Salah S Shehata; Fadi Toonsi
Journal:  Saudi Med J       Date:  2022-01       Impact factor: 1.422

7.  An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.

Authors:  Merel Huisman; Erik Ranschaert; William Parker; Domenico Mastrodicasa; Martin Koci; Daniel Pinto de Santos; Francesca Coppola; Sergey Morozov; Marc Zins; Cedric Bohyn; Ural Koç; Jie Wu; Satyam Veean; Dominik Fleischmann; Tim Leiner; Martin J Willemink
Journal:  Eur Radiol       Date:  2021-03-20       Impact factor: 7.034

8.  An evaluation of information online on artificial intelligence in medical imaging.

Authors:  Philip Mulryan; Naomi Ni Chleirigh; Alexander T O'Mahony; Claire Crowley; David Ryan; Patrick McLaughlin; Mark McEntee; Michael Maher; Owen J O'Connor
Journal:  Insights Imaging       Date:  2022-04-25

9.  Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment.

Authors:  Hans Henrik Thodberg; Benjamin Thodberg; Joanna Ahlkvist; Amaka C Offiah
Journal:  Pediatr Radiol       Date:  2022-02-28

10.  A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.

Authors:  Tim Eschert; Falk Schwendicke; Joachim Krois; Lauren Bohner; Shankeeth Vinayahalingam; Marcel Hanisch
Journal:  Medicina (Kaunas)       Date:  2022-08-05       Impact factor: 2.948
  10 in total

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