Publications by authors named "Sundos Hussein"
J Am Heart Assoc
May 2023
Article Synopsis
- The study analyzed data from over 52,000 patients diagnosed with atrial fibrillation between 2010 and 2020 to determine the best rhythm-management strategies for individuals.
- Researchers utilized a form of artificial intelligence called tabular Q-learning to predict optimal treatments based on outcomes such as mortality and treatment sustainability, while also clustering patients into distinct groups for better analysis.
- Findings revealed that rhythm-control strategies led to better outcomes than rate-control strategies, particularly when the treatment matched the Q-learning recommendations, indicating a promising method for improving clinical decision-making in atrial fibrillation management.
