Towards a Unified Rheumatic Heart Disease Imaging Dataset

Artificial intelligence (AI) has the potential to improve access to services for underserved populations. Rheumatic heart disease (RHD) is set to be a condition that may benefit significantly from the innovations made possible through AI research [1]. As with essentially all AI research, developing an AI model for RHD detection will be contingent upon the presence of robust datasets. A unified and collaborative approach to the consolidation of RHD imaging datasets may expedite the development of these algorithms and enable higher algorithmic performance.

https://www.heartlungcirc.org/article/S1443-9506(23)04465-7/fulltext?rss=yes

Source: Heart, Lung and Circulation - February 1, 2024 Category: Cardiology Authors: Sarah Howson, Shaun Evans, Andrew E.C. Booth, Stephen Bacchi, Aashray Gupta, Joshua Kovoor, Brandon Stretton, Adam Nelson, Pramesh Kovoor Tags: Letter to the Editor Source Type: research