On the Role of Artificial Intelligence in Medical Imaging of COVID-19

Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L Shah, Emmanouil Karteris (+3 others)
<span title="2021-04-30">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5cekcl3stvfxxfsctgk6zwoqwe" style="color: black;">Patterns</a> </i> &nbsp;
Although a plethora of research articles on AI methods on COVID-19 medical imaging are published, their clinical value remains unclear. We conducted the largest systematic review of the literature addressing the utility of AI in imaging for COVID-19 patient care. By keyword searches on PubMed and preprint servers throughout 2020, we identified 463 manuscripts and performed a systematic meta-analysis to assess their technical merit and clinical relevance. Our analysis evidences a significant
more &raquo; ... arity between clinical and AI communities, both in the focus on imaging modalities (AI experts neglected CT and Ultrasound, favoring X-Ray) and performed tasks (71.9% of AI papers centered on diagnosis). The vast majority of manuscripts were found deficient regarding potential use in clinical practice, but 2.7% (N=12) publications were assigned a high maturity level and are summarized in greater detail. We provide an itemized discussion of the challenges in developing clinically relevant AI solutions with recommendations and remedies.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patter.2021.100269">doi:10.1016/j.patter.2021.100269</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33969323">pmid:33969323</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8086827/">pmcid:PMC8086827</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p4xslz325ja55pmznupkcg7h5u">fatcat:p4xslz325ja55pmznupkcg7h5u</a> </span>
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