Podcast

Optimise that can identify those at high risk for heart problems.

Written by Fred and Melody | 03 Oct 2024

 

Your Hosts: Fred and Melody

Topic: The University of Leeds developed an AI system called Optimise that analyzed health records of over 2 million people to identify those at high risk for heart problems.

🪢Of the 2 million records scanned, over 400,000 people (20%) were identified as high-risk for conditions like heart failure, stroke and diabetes. This high-risk group accounted for 74% of heart-related deaths.

🪢In a pilot study of 82 high-risk patients identified by Optimise:

- 20% were found to have undiagnosed moderate or high-risk chronic kidney disease

- Over 50% with high blood pressure were given different medication to better manage their heart risk

🪢The AI approach could allow earlier treatment and help relieve pressure on the NHS by preventing conditions from worsening.

🪢This aligns with other AI initiatives in cardiovascular care:

- AI tools have shown promise in detecting heart valve disease and predicting cardiovascular risk from tests like ECGs and retinal imaging.

- AI-enabled digital stethoscopes were found to be more accurate than traditional methods in detecting heart valve disease in primary care settings.

- Deep learning models analyzing retinal images have demonstrated effectiveness in predicting cardiovascular event risk in prediabetic and diabetic patients.

🪢AI is being applied across various aspects of cardiovascular medicine, including risk assessment, diagnosis, treatment optimization, and patient monitoring.

🪢Benefits of AI in cardiovascular care include:

- More accurate and personalized risk prediction

- Earlier detection of heart conditions

- Improved diagnostic accuracy

- Optimization of treatments

- Enhanced patient monitoring and early warning systems

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References:

  1. AI is being used to help identify and manage patients at risk of cardiovascular disease.
  2. AI to help GPs identify those at high risk of heart-related death.

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