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Artificial intelligence (AI) is being utilized to assist general practitioners in identifying patients at high risk for serious heart conditions. The University of Leeds has developed an AI system named Optimise, which analyzed health records from over two million individuals. This analysis revealed that many patients had undiagnosed health issues or were not receiving necessary medications to mitigate their risks.
The findings indicate that more than 400,000 individuals were identified as high-risk for conditions such as heart failure and diabetes, representing a significant portion of heart-related deaths. A pilot study involving 82 high-risk patients showed that many had undiagnosed chronic kidney disease, and adjustments in medication were made for those with high blood pressure. This proactive approach could lead to earlier treatment and alleviate some of the pressures faced by the NHS.
• AI system Optimise analyzes health records to identify high-risk heart patients.
• Over 400,000 individuals identified as high-risk for heart-related conditions.
AI is used in this context to analyze vast amounts of health data to identify at-risk patients.
This analysis was crucial in training the AI system to recognize patterns indicating high-risk patients.
The AI identified undiagnosed cases of this disease among high-risk patients, highlighting the importance of early detection.
The university played a pivotal role in developing the AI system Optimise to improve patient outcomes.
The foundation funded the study that utilized AI to enhance early diagnosis and treatment of heart conditions.
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