Artificial Intelligence (AI) in Medical Imaging
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
|Journal Name||Impact Factor||CiteScore||Launched Year||First Decision (median)||APC|
|3.2||2.7||2011||16.9 Days||CHF 2600|
|3.1||5.8||2010||22.6 Days||CHF 1600|
|-||-||2020||21.8 Days||CHF 1200|
Journal of Imagingjimaging
|3.2||4.4||2015||21.9 Days||CHF 1600|
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