Artificial Intelligence–Enabled POCUS in the COVID-19 ICU
Baljash Cheema, James M. Walter, Akhil Narang, James D. Thomas
Abstract
We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.)
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Intensive care unitPoint of care ultrasound2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineComputer scienceArtificial intelligenceIntensive care medicineMedical emergencyUltrasoundInternal medicinePathologyRadiologyDiseaseInfectious disease (medical specialty)OutbreakUltrasound in Clinical ApplicationsCOVID-19 diagnosis using AIPhonocardiography and Auscultation Techniques