Publications by authors named "Henrique Lima de Oliveira"
Article Synopsis
- * A comprehensive review examined 30 studies on the application of AI and machine learning (ML) in diagnosing AF, revealing that deep learning techniques excel in extracting data features automatically from various sources.
- * AI models, especially those using deep learning, outperform traditional diagnostic methods in speed and accuracy, and ongoing research aims to refine these tools for better AF detection and management in clinical settings.
Hypertrophic cardiomyopathy (HCM) is a heart condition characterized by cellular and metabolic dysfunction, with mitochondrial dysfunction playing a crucial role. Although the direct relationship between genetic mutations and mitochondrial dysfunction remains unclear, targeting mitochondrial dysfunction presents promising opportunities for treatment, as there are currently no effective treatments available for HCM. This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews guidelines.
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