by New research suggests that the application of Artificial Intelligence (AI) in diagnosing heart failure could potentially reduce underdiagnoses among African American patients. According to a recent study published in the Journal of the American College of Cardiology Electrodes, AI algorithms have shown promising results in identifying heart failure cases in this population, which historically faces higher underdiagnosis rates.
The study, led by researchers at the University of California, San Francisco, analyzed data from over 12,000 patients, including approximately 2,000 African Americans, who were admitted to the hospital with heart failure symptoms. The researchers used an AI algorithm to analyze various clinical data points, such as vital signs, lab results, and demographic information, to determine the likelihood of heart failure.
The findings revealed that the AI algorithm had a higher accuracy rate in diagnosing heart failure in African American patients compared to traditional methods. Specifically, the AI algorithm correctly identified heart failure in 90% of African American patients, while the standard diagnostic methods identified it in only 78%.
These results are significant because heart failure is a leading cause of hospitalization and mortality among African Americans, and underdiagnosis can lead to inadequate treatment and poorer outcomes. The researchers believe that the use of AI in diagnosing heart failure could help bridge the gap in care and improve health outcomes for this population.
The study’s lead author, Dr. Nishant S. Bhansali, stated, “Our findings demonstrate that AI can help reduce underdiagnosis of heart failure in African American patients, which is a critical step towards addressing health disparities and improving health outcomes.”
The researchers plan to continue their research in this area and explore the potential use of AI in other areas of cardiovascular care. They believe that AI could also help identify patients at risk for heart failure and provide personalized treatment plans to prevent or manage the condition.
In conclusion, the use of AI in diagnosing heart failure shows promise in reducing underdiagnosis rates among African American patients, who historically face higher underdiagnosis rates. This could lead to improved health outcomes and better care for this population.
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1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
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