Artificial Intelligence (AI) in Medical Imaging
Topic Information
Dear Colleagues,
Artificial Intelligence and especially Machine Learning are playing an increasing role in Medical Imaging. On one hand, AI presents solutions which are of (in)sufficient accuracy or are difficult to implement in a clinical workflow. On the other hand, MD wants to have insight into how the classification or suggested diagnosis or outcome was calculated instead of just seeing an expensive AI black box. AI needs a common discussion platform where all key opinion leaders can express their concerns and results in an organized way.
In this Topic, we invite AI/ML developers, computer scientists, academics, MDs (radiologists, neurologists, critical care doctors, etc.), and hospital managers to present their results of implementation of AI into medical imaging of any modality, the effectiveness of this process, and the gains and losses in terms of patient outcome and (monetary) investments. We welcome original articles, case reports, and reviews.
Prof. Dr. Marcin Balcerzyk
Topic Editor
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Participating Journals
1,146 Articles
Launched in 2020
6.5Impact Factor
7.3CiteScore
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6,623 Articles
Launched in 2010
4.3Impact Factor
8.2CiteScore
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4 DaysAcceptance to Publication
Q2Highest JCR Category Ranking
2,750 Articles
Launched in 2015
3.8Impact Factor
7.3CiteScore
21 DaysSubmission to First Decision
4 DaysAcceptance to Publication
Q2Highest JCR Category Ranking
12,328 Articles
Launched in 2011
3.9Impact Factor
7.1CiteScore
15 DaysSubmission to First Decision
3 DaysAcceptance to Publication
Q1Highest JCR Category Ranking
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