Lessons learned in transitioning to AI in the medical imaging of COVID-19-Reference-Cited by-同舟云学术

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Lessons learned in transitioning to AI in the medical imaging of COVID-19

Published:2021-10-01 Issue:S1 Volume:8 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

El Naqa Issam M.¹,Hu Qiyuan²,Chen Weijie³,Li Hui²,Fuhrman Jordan D.²,Gorre Naveena¹,Giger Maryellen L.²

Affiliation:

1. Moffitt Cancer Center and Research Institute

2. The Univ. of Chicago

3. U.S. Food and Drug Administration

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology Nuclear Medicine and imaging

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy;Radiotherapy and Oncology;2024-08

2. Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging;Cureus;2024-04-05

3. Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons;Journal of Medical Imaging;2023-11-16

4. AI and machine learning ethics, law, diversity, and global impact;The British Journal of Radiology;2023-10

5. AI in medical imaging grand challenges: translation from competition to research benefit and patient care;The British Journal of Radiology;2023-10

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