Publications by authors named "Afolasayo A Aromiwura"

Cardiovascular disease (CVD), particularly coronary heart disease (CHD), is the leading cause of death in the US, with a high economic impact. Coronary artery calcium (CAC) is a known marker for CHD and a useful tool for estimating the risk of atherosclerotic cardiovascular disease (ASCVD). Although CACS is recommended for informing the decision to initiate statin therapy, the current standard requires a dedicated CT protocol, which is time-intensive and contributes to radiation exposure.

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Article Synopsis
  • Cardiovascular magnetic resonance (CMR) imaging is a top method for checking heart tissue and how well heart chambers work, but it can take a long time to analyze.
  • Using artificial intelligence (AI) can help speed up CMR analysis by automatically handling tasks like finding problems in images and calculating heart size and function.
  • The review talks about the challenges of getting AI widely used in heart imaging and suggests some ways to overcome those challenges.
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Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern application of AI encompasses intelligent models and algorithms for automated data analysis and processing, data generation, and prediction with applications in visual perception, speech understanding, and language translation. AI in healthcare uses machine learning (ML) and other predictive analytical techniques to help sort through vast amounts of data and generate outputs that aid in diagnosis, clinical decision support, workflow automation, and prognostication.

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• Rapidly growing cardiac tumors can be benign or malignant. • Rarely, cardiac myxomas may grow rapidly, causing heart failure or obstructive symptoms. • Echocardiography remains the first-line imaging for cardiac tumors.

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