AI ⁽⁷⁾

We've developed a free-to-use tool utilising a convolutional neural network which is able to accurately identify the model of pacemaker present on a chest X-ray. This work has been published in JACC: Clinical Electrophysiology (open access).

Automated echocardiographic interpretation hinges on the correct recognition of the view (imaging plane and orientation). Current state-of-the-art methods for identifying the view computationally involve 2-dimensional convolutional neural networks (CNNs) and ignore information describing the movement of structures throughout the cardiac cycle. Here we explore…