Key result
AI guidance enables novice users to acquire diagnostic TTE images.
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Captured external expert commentary on this paper, strongest first. Original sources are linked where available.
“At Northwestern Medicine, we believe AI-based guidance for cardiac ultrasound acquisition will equip our frontline providers to perform these exams with limited training. This will have a significant impact in our response to COVID-19 while minimizing exposure for our sonographers.”
“Given the shortage of individuals who can perform cardiac ultrasound in our institution and our desire to limit exposure to patients with COVID-19 to the frontline providers treating them, we are looking to teach these COVID-19 frontline providers, such as nurses, APPs, and physicians, to perform cardiac ultrasound exams. However, we are aware of how challenging the exam is to learn and perform. Given the time-sensitivity and importance of this, we need a fast and effective way of getting frontline providers adept at performing cardiac ultrasound exams.”
Technology evaluation demonstrates deep learning guidance assists novice users in obtaining transthoracic echocardiograms, suggesting expanded access to point-of-care cardiac imaging.
Recently a DL algorithm (Caption Guidance, Caption Health) was developed to guide the acquisition of 10 transthoracic echocardiographic (TTE) views by novice users. The DL model was trained using >5,000,000 observations of the impact of transducer location on image orientation and quality. The goal
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Narang et al. (2020) studied this question. A deep learning-based image guidance algorithm enabled novice users to acquire diagnostic transthoracic echocardiographic images.
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