How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities-Reference-Cited by-同舟云学术

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How to keep artificial intelligence evolving in the medical imaging world? Challenges and opportunities

Published:2023-04 Issue:7 Volume:68 Page:648-652
ISSN:2095-9273
Container-title:Science Bulletin
language:en
Short-container-title:Science Bulletin

Author:

Xue Huadan,Hu Ge,Hong Nan,Dunnick N. Reed,Jin Zhengyu

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference17 articles.

1. Artificial intelligence in cancer imaging: clinical challenges and applications;Bi;CA-Cancer J Clin,2019

2. Artificial intelligence: promise, pitfalls, and perspective;Desai;JAMA,2020

3. Academic radiology departments should lead artificial intelligence initiatives;Santomartino;Acad Radiol,2022

4. The clinician and dataset shift in artificial intelligence;Finlayson;New Engl J Med,2021

5. Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness;Vollmer;BMJ,2020

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1. Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers;Journal of Medical Imaging and Radiation Sciences;2024-12

2. Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking;Environmental Challenges;2024-08

3. Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology;Cancers;2024-01-10

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