Automation of Doppler Ultrasound using Artificial Intelligence

(1) Activities of partner:
Moonrise Medical is developing an AI-enabled ultrasound-based device to evaluate flow hemodynamics in the peripheral vascular system. They are targeting peripheral artery disease [1] and diabetic foot ulcers [2] to promote improved wound healing and prevent amputations.
(2) Challenges the partner aims to solve:
The main challenge being addressed is how to achieve accurate, early, and immediate diagnosis/characterization of vascular pathology in the pedal vasculature to predict wound healing characteristics using a form factor appropriate to in-clinic use [3]. To address this overall challenge, Moonrise Medical needs to develop an ultrasound-based solution with a low barrier of entry, streamlined workflow, and small form factor. This includes devising automation and assistance technology tailored for the target clinical application so that a non-specialized clinician may use the device to assess vascular health with minimal training.
(3) Anticipated social or economic benefits
Peripheral artery disease has been estimated to have a global prevalence of 5.6% globally, higher in highincome countries [1]. Meanwhile, the prevalence of diabetic foot ulcers was estimated to be 6.3%, higher in North America [2]. Both vascular pathologies ultimately lead to adverse outcomes including limb loss and increased mortality rate [4]. Current clinical standards for assessing vascular perfusion in the lower extremities have been found to be erroneous for patients with diabetes and/or noncompressible vessels [5]. A more accurate, accessible, and early detection solution for pedal vascular health assessment would significantly improve the outcomes for patients with such vascular pathology.

Faculty Supervisor:

Arvind Gupta;Huaxiong Huang

Student:

Partner:

Moonrise Medical, Inc

Discipline:

Computer science

Sector:

Manufacturing

University:

University of Toronto

Program: