Development of a User-Friendly Pipeline for Constructing Atrial Models at Scale: Importance of the End-User for Clinical Uptake

Atrial fibrillation (AF) is a common cardiac arrhythmia with high recurrence rate post-treatment.Personalised computational models can be used to investigate patientspecific mechanisms underlying AF, explore personalised treatment approaches, and for large-scale in silico trials.To ensure accuracy, reproducibility, and realistic uptake in clinical practice, investigations require consistent construction of models from patient-specific data.Clear and user-friendly model pipelines are therefore critical and should be developed with the end-user in mind.The atrial modelling toolkit (atrialmtk: https://gi thub.com/pcmlab/atrialmtk)allows users to produce atrial meshes for electrophysiological simulation, incorporating atrial regions, fibres, and transmural variations across the atrial wall.Multiple workflows allow the use of several input data types that may be available to the user, while mesh type and fibre distribution options allow users to investigate the effect of various factors on fibrillatory dynamics.The pipeline has been tested by multiple users across operating systems to ensure compatibility and usability, and its success at scale demonstrated in a previous study of 1000 atrial geometries.By expanding testing to a wider audience, we aim to increase clinical engagement and the uptake of modelling and digital twins in clinical practice.