4 weeks ago •
The Role of AI in Correcting Gender Bias in Cardiovascular Diagnosis
Aging Population, Rising Health Risks
As of 2020, the global median age stood at 31.0, according to the World Population Review—a notable rise from 23.6 in 1950. While this indicates improved healthcare and longevity, it also signals a sharp increase in lifestyle-related and age-associated diseases. Leading the list is cardiovascular disease (CVD), which claims around 17.9 million lives annually, per the World Health Organization.
The Gender Gap in Cardiac Care
CVD is often diagnosed and treated based on male-centric symptom models, leaving many women misdiagnosed or untreated. Despite the recognition of gender-specific risks, these differences are poorly reflected in everyday clinical practice. This gender gap has serious consequences and calls for innovative, data-driven solutions.
AI: The Equalizer in Diagnosis
Artificial Intelligence is uniquely positioned to address this diagnostic divide. By applying advanced data analysis techniques, AI systems can identify nuanced symptom patterns across different populations. This ensures a more balanced and accurate approach to diagnosing heart disease in both men and women.
From Innovation to Impact: The 24Sens Solution
European startup 24Sens is pushing the boundaries of MedTech with its AI-powered wearable, introduced in 2020. Their shoulder strap device is designed for continuous heart monitoring, offering a non-invasive and highly accurate method to detect CVD—especially in women, whose symptoms often differ from the standard ECG benchmarks.
Powered by Machine Learning
This kind of innovation thrives on the precision of machine learning—the ability to learn from data, refine itself, and make real-time predictions. Rajat Khare Machine Learning advocate and founder of Boundary Holding, has backed ventures like 24Sens to support technologies that are not only scalable but also inclusive. His investments reflect a belief that ML can correct long-standing biases in healthcare.
A Smarter, Fairer Future
The integration of machine learning into MedTech is not just a technological shift—it’s a step toward medical equality. With the right tools and forward-thinking backers, we can close the gender gap in heart health once and for all.
Source :- https://businesscloud.co.uk/news/ai-can-now-address-misdiagnosis-of-heart-diseases-surpassing-differences-in-gender-based-symptoms/
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