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AI can now address misdiagnosis of heart diseases surpassing differences in gend

As per data projection of World Population Review, the median age of humanity is 31.0 in 2020. This is a notable increase from 70 years ago, when the median age of humanity was just 23.6 years. This data indicates that increasing access to health facilities is allowing humanity to live longer lives. <br><br>However, this poses challenges of its own, like lifestyle and age-related diseases. In both these cases, cardiovascular diseases are the leading cause of worry for the world population. As per WHO, cardiovascular diseases lead to the deaths of around 17.9 million people annually.

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AI can now address misdiagnosis of heart diseases surpassing differences in gend

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  1. - Website - https://businesscloud.co.uk/news/ai-can-now-address-misdiagnosis-of-heart-diseases- surpassing-differences-in-gender-based-symptoms/ As per data projection of World Population Review, the median age of humanity is 31.0 in 2020. This is a notable increase from 70 years ago, when the median age of humanity was just 23.6 years. This data indicates that increasing access to health facilities is allowing humanity to live longer lives. However, this poses challenges of its own, like lifestyle and age-related diseases. In both these cases, cardiovascular diseases are the leading cause of worry for the world population. As per WHO, cardiovascular diseases lead to the deaths of around 17.9 million people annually. Due to the diagnostic difficulty it presents and the persistent belief that cardiovascular disease (CVD) mostly affects males, women’s CVD continues to go undiagnosed and untreated. Although gender-related risk variables have already been identified, there is a dearth of clinical applicability, which causes women with CVD to be misdiagnosed and poorly managed. To optimize care and significantly reduce morbidity and mortality in this patient population, it is essential to address gender-specific symptomatology and risk factors.

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