AI in Medical Imaging
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: closed (18 February 2022) | Viewed by 518
Special Issue Editor
2. National Accelerators' Center, University of Seville, 41004 Sevilla, Spain
Interests: molecular imaging; positron emission tomography–PET; computed tomography–CT; medical imaging; PET detectors; boron neutron capture therapy–BNCT; artificial intelligence applied to medical imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue 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
Guest Editor
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