Literature DB >> 29668407

Radiology in 2018: Are You Working with AI or Being Replaced by AI?

David A Bluemke.   

Abstract

Mesh:

Year:  2018        PMID: 29668407     DOI: 10.1148/radiol.2018184007

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


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  10 in total

1.  AI in MRI: A case for grassroots deep learning.

Authors:  Kurt G Schilling; Bennett A Landman
Journal:  Magn Reson Imaging       Date:  2019-07-05       Impact factor: 2.546

Review 2.  Artificial intelligence in diagnostic imaging: impact on the radiography profession.

Authors:  Maryann Hardy; Hugh Harvey
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

3.  High-Precision Assessment of Chemoradiotherapy of Rectal Cancer with Near-Infrared Photoacoustic Microscopy and Deep Learning.

Authors:  Alexander L Klibanov
Journal:  Radiology       Date:  2021-03-23       Impact factor: 11.105

Review 4.  Applications of artificial intelligence in cardiovascular imaging.

Authors:  Maxime Sermesant; Hervé Delingette; Hubert Cochet; Pierre Jaïs; Nicholas Ayache
Journal:  Nat Rev Cardiol       Date:  2021-03-12       Impact factor: 32.419

Review 5.  Artificial Intelligence in Medicine: Chances and Challenges for Wide Clinical Adoption.

Authors:  Julian Varghese
Journal:  Visc Med       Date:  2020-10-12

6.  Promises of artificial intelligence in neuroradiology: a systematic technographic review.

Authors:  Allard W Olthof; Peter M A van Ooijen; Mohammad H Rezazade Mehrizi
Journal:  Neuroradiology       Date:  2020-04-22       Impact factor: 2.804

7.  Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling.

Authors:  Jou-Kou Wang; Yun-Fan Chang; Kun-Hsi Tsai; Wei-Chien Wang; Chang-Yen Tsai; Chui-Hsuan Cheng; Yu Tsao
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

8.  Clinical genetics: past, present and future.

Authors:  Eva Tromans; Julian Barwell
Journal:  Eur J Hum Genet       Date:  2022-01-25       Impact factor: 5.351

9.  How to achieve trustworthy artificial intelligence for health.

Authors:  Kristine Bærøe; Ainar Miyata-Sturm; Edmund Henden
Journal:  Bull World Health Organ       Date:  2020-01-27       Impact factor: 9.408

10.  Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.

Authors:  Robert J O'Shea; Amy Rose Sharkey; Gary J R Cook; Vicky Goh
Journal:  Eur Radiol       Date:  2021-04-16       Impact factor: 5.315

  10 in total

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