Knowledge and attitudes towards artificial intelligence in imaging: a look at the quantitative survey literature-Reference-Cited by-同舟云学术

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Knowledge and attitudes towards artificial intelligence in imaging: a look at the quantitative survey literature

Published:2021-12 Issue: Volume:80 Page:413-419
ISSN:0899-7071
Container-title:Clinical Imaging
language:en
Short-container-title:Clinical Imaging

Author:

Bhandari Abhishta,Purchuri Sai Navya,Sharma Chinmay,Ibrahim Muhammad,Prior Marita

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference34 articles.

1. A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop;Langlotz,2019

2. Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms;Schaffter;JAMA Netw Open,2020

3. Noninvasive determination of IDH and 1p19q status of lower-grade gliomas using MRI radiomics: a systematic review;Bhandari,2020

4. CT-based radiomics for differentiating renal tumours: a systematic review;Bhandari,2020

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3. Radiology Residents' and Radiologists' Perception and Attitude Towards Medical Artificial Intelligence in Radiology– An Initial National Multicenter Survey;2023-11-10

4. Attitude, perception and barriers of dental professionals towards artificial intelligence;Journal of Oral Biology and Craniofacial Research;2023-09

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