We’ve shown how AI and ML help diagnose and manage heart problems. New research has recently shown that a new ML model can improve ECG data interpretation, reducing misdiagnosis and optimizing patient monitoring data.
A further step is to look at monitoring and early disease detection while patients are being monitored within the home space. This is something our recent insight article has touched on.
By using traditional signal processing and ML, this model can overcome challenges caused by noisy data. They evaluated it using real-world single-lead ECG data from acutely ill patients receiving care at home as part of a ‘home hospital’ program. The model showed excellent performance, with a sensitivity of 98%, a specificity of 100%, an accuracy of 98%, a positive predictive value of 100%, and a negative predictive value of 93%.
It was effective in interpreting telemetry feeds for acutely ill patients. The current systems can detect atrial fibrillation with 92% accuracy and paroxysmal supraventricular tachycardia with 93% accuracy. However, the new ML algorithm could enhance arrhythmia identification.
The ML model can monitor chronically ill patients during medication changes or diagnose hidden arrhythmia. It could form the basis of a system that consistently monitors cardiac health through arrhythmia detection.
The study evaluated a single-lead ECG hybrid ML algorithm using data from acutely ill patients within a ‘home hospital’ programme. It shows the potential of AI and ML to enhance healthcare delivery and patient outcomes, particularly in cardiology. Investigating the impact of long-term arrhythmia burden on health outcomes is crucial for future research.
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Gilead Sciences has submitted key applications to the EMA for lenacapavir, a groundbreaking HIV-1 capsid inhibitor designed for use as pre-exposure prophylaxis (PrEP). With promising trial results indicating a significant reduction in HIV infections, this innovation could enhance adherence to prevention strategies globally. Discover more about this game-changing development!
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Look into the details of this transformative partnership and its implications for the future of healthcare in the region!
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🚨 Are we doing enough to tackle the imminent breast cancer crisis in Africa?
A recent WHO report reveals alarming trends, predicting that 135,000 women could succumb to breast cancer by 2040 unless urgent actions are taken. The report highlights critical gaps in healthcare infrastructure and capacity, emphasizing the need for investment in screening programs and professional training to improve outcomes across the continent.
Review the full article to explore the necessary steps towards reinforcing breast cancer control measures in Africa.
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