Perspectives of artificial intelligence in radiology in Jordan: CROSS-SECTIONAL study by radiologists and residents’ sides-Reference-Cited by-同舟云学术

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Perspectives of artificial intelligence in radiology in Jordan: CROSS-SECTIONAL study by radiologists and residents’ sides

Published:2024 Issue: Volume:49 Page:101538
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Abufadda Mahmoud^ORCID,Radaideh Khaldoon,Al-Hinnawi Abdel-Razzak,Al-Hiari Asem

Publisher

Elsevier BV

Reference40 articles.

1. Artificial intelligence in radiology: the ecosystem essential to improving patient care;Sogani;Clin Imag,2020

2. Predicting the future — big data, machine learning, and clinical medicine;Obermeyer;N Engl J Med,2016

3. Deep learning in radiology: an overview of the concepts and a survey of the state of the art with focus on MRI;Mazurowski;J Magn Reson Imag,2018

4. Deep learning: a primer for radiologists;Chartrand;Radiographics,2017

5. Implementing machine learning in health care — addressing ethical challenges;Char;N Engl J Med,2018

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