Artificial intelligence-enhanced echocardiography in the emergency department.
Jonathon E StewartAdrian GoudieAshes MukherjeeGirish DwivediPublished in: Emergency medicine Australasia : EMA (2021)
A focused cardiac ultrasound performed by an emergency physician is becoming part of the standard assessment of patients in a variety of clinical situations. The development of inexpensive, portable handheld devices promises to make point-of-care ultrasound even more accessible over the coming decades. Many of these handheld devices are beginning to integrate artificial intelligence (AI) for image analysis. The integration of AI into focused cardiac ultrasound will have a number of implications for emergency physicians. This perspective presents an overview of the current state of AI research in echocardiography relevant to the emergency physician, as well as the future possibilities, challenges and risks of this technology.
Keyphrases
- artificial intelligence
- emergency department
- left ventricular
- machine learning
- big data
- deep learning
- magnetic resonance imaging
- primary care
- end stage renal disease
- public health
- computed tomography
- newly diagnosed
- chronic kidney disease
- pulmonary hypertension
- healthcare
- ejection fraction
- ultrasound guided
- contrast enhanced ultrasound
- peritoneal dialysis
- prognostic factors
- current status
- human health
- adverse drug
- atrial fibrillation
- patient reported
- low cost
- drug induced