The software’s efficiency will be crucial for the widespread use of AAC in research and routine clinical practice for early disease detection and monitoring. While the software’s accuracy still needs improvement, it showed promising results, with an 80% agreement with expert readings and the ability to identify individuals with high AAC levels and greater disease risk.
The software’s potential for large-scale screening in cardiovascular disease and other conditions before symptoms appear could enable individuals at risk to make lifestyle changes earlier. The Heart Foundation provided funding for the project. Although further advancements are needed, the software’s capabilities have significant implications for identifying high-risk individuals and promoting better health outcomes.
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