Machine Learning in Point of Care Ultrasound

Momodou L. Sonko, BS; T. Campbell Arnold, BS; Ivan A. Kuznetsov, BS – When a patient presents to the ED, clinicians often turn to medical imaging to better understand their condition. Traditionally, imaging is collected from the patient and interpreted by a radiologist remotely. However, scanning devices are increasingly equipped with analytical software that can provide quantitative assessments at the patient’s bedside. These assessments often rely on machine learning algorithms as a means of interpreting medical images.