Why the study?
Several studies suggested the utility of artificial intelligence in screening left ventricular hypertrophy, prompting a comprehensive overview comparing its diagnostic accuracy to Sokolow-Lyon's and Cornell's criteria.
Does artificial intelligence improve the diagnostic accuracy of detecting left ventricular hypertrophy by electrocardiograph compared to conventional criteria?
Does artificial intelligence improve the diagnostic accuracy of detecting left ventricular hypertrophy by electrocardiograph compared to conventional criteria?
AI-based algorithms demonstrate superior diagnostic accuracy and significantly higher sensitivity for detecting left ventricular hypertrophy on ECG compared to conventional Sokolow-Lyon and Cornell criteria.
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AI may improve LVH detection on routine ECGs; extends diagnostic evidence by confirming AI superiority over conventional criteria.
Siranart et al. (2024) studied this question.
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