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The Promise of Artificial Intelligence-Assisted Point-of-Care Ultrasonography in Perioperative Care
Ricardo A Serrano1, Alan M Smeltz1
1University of North Carolina School of Medicine, Chapel Hill, NC.
Abstract:
The role of point-of-care ultrasonography in the perioperative setting has expanded rapidly over recent years. Revolutionizing this technology further is integrating artificial intelligence to assist clinicians in optimizing images, identifying anomalies, performing automated measurements and calculations, and facilitating diagnoses. Artificial intelligence can increase point-of-care ultrasonography efficiency and accuracy, making it an even more valuable point-of-care tool. Given this topic's importance and ever-changing landscape, this review discusses the latest trends to serve as an introduction and update in this area.
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