RuralUS: Ultrasound adapted to resource limited settings

Date 15/10/2021 - 15/10/2023
Type Machine Learning, Health
Partner CHUV, ICRC
Partner contact Mary-Anne Hartley
EPFL Laboratory Machine Learning and Optimization Laboratory (MLO), Intelligent Global Health Research Group

Point-of-Care Ultrasound (PoCUS) is a powerfully versatile and virtually consumable-free clinical tool for the diagnosis and management of a range of diseases. Recent ultrasound-on-a-chip technology has transformed the expensive, fragile and cumbersome 20kg ultrasound trolley into a robust, pocket-sized, portable tool, pluggable into a smart phone and costing a 10th of the price with most of the same functionalities.

While the promise of this tool in resource-limited settings may seem obvious, it’s implementation is limited by inter-user bias, requiring specific training and standardisation.
This makes PoCUS a good candidate for computer-aided interpretation support.

Our study proposes the development of a PoCUS training program adapted to resource limited settings and the particular needs of the ICRC. We encourage locally led research and build a databank to create deep learning algorithms that support the standardisation of clinical ultrasound interpretation.