I'm excited to share our #ML work where we learn ultrasound video classifiers given a very limited amounts of training data (<15 + videos). We use insights from doctors and a representation learning approach called sparse coding to achieve high performance on two lung data sets. Our system delivers results in <4 sec on an iPad and <8 sec on an iPhone and provides outputs to support human interpretation.

This work is forthcoming in the upcoming #IAAI / #AAAI conference: https://arxiv.org/abs/2212.03282