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.)
| Original language | English (US) |
|---|---|
| Pages (from-to) | 258-263 |
| Number of pages | 6 |
| Journal | JACC: Case Reports |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2021 |
Funding
Dr. Narang has previously received honoraria from Caption Health for unrelated work. Dr. Thomas has received consulting and grant support from Edwards, Abbott, GE Medical, and Caption Health; and his spouse is employed by Caption Health. Drs. Cheema and Walter have reported that they have no relationships relevant to the contents of this paper to disclose. The authors would like to acknowledge Caption Health for providing the AI-guided echocardiography machines used in this work and the IDP Foundation, Inc. for their kind contribution that helped build the research facility where this project was completed.
Keywords
- COVID-19
- artificial intelligence
- cardiac ultrasound
- deep learning
- point of care ultrasound
ASJC Scopus subject areas
- Cardiology and Cardiovascular Medicine
