AI-enhanced lung ultrasound to detect lung involvement in COVID-19

The COVID-19 virus causing the current pandemic leads to severe illness and death when it involves the lungs. This occurs in a way that conventional X-Rays often cannot show. Experience in other countries and with a similar condition known as ARDS suggests that lung ultrasound can accurately detect COVID-19 lung involvement. Lung ultrasound is harmless and can be done with small handheld, easily cleaned portable probes, but the images are difficult for non-experts to interpret. We will test whether lung ultrasound images can be efficiently obtained by medical personnel already caring for COVID-19 patients in local emergency rooms and intensive care units, and whether the images we obtain can be accurately interpreted by artificial intelligence to help clinicians detect COVID-19 lung involvement. This can allow us to more accurately decide who needs to be hospitalized and to help provide the best possible care for the sickest patients with COVID-19.

Faculty Supervisor:

Jacob Jaremko;Kumaradevan Punithakumar;Derek Emery

Student:

Siyavash Ghasseminia;Xuebin Qin;Salahe Erfanian Ebadi

Partner:

MEDO.ai

Discipline:

Other

Sector:

University:

University of Alberta

Program: