Artificial intelligence boosts heart attack treatment in women

The problem starts with the symptoms: unlike men, who often experience chest pain when radiation hits their left arm, a heart attack in women often manifests as abdominal pain that radiates to the back or nausea and vomit. Unfortunately, these symptoms are often misunderstood by patients and healthcare workers – with disastrous consequences.

An international research team led by Thomas F. Lüscher, professor at the Center for Molecular Cardiology at the University of Zurich (UZH), has now studied in more detail the role of biological sex in pain. heart.

Indeed, there are notable differences in disease phenotypes observed in females and males. This study found that women and men had significant differences in risk factor profiles for hospital admission.


When not taking into account the difference in age at admission and existing risk factors such as hypertension and diabetes, female myocardial infarction patients had a higher mortality rate than male patients.

Researchers from Switzerland and the United Kingdom analyzed data from 420,781 patients across Europe who had suffered the most common type of heart attack.

The study found that risk models established to guide patient management are currently less accurate in females and favor treatment for female patients.

Artificial Intelligence and Heart Attack Treatment

Many researchers and biotech companies agree that artificial intelligence and Big Data analytics are the next steps on the path to personalized patient care.

The researchers see great potential in using artificial intelligence to manage heart disease in both male and female patients. They hope applying this new score in treatment algorithms will refine current treatment strategies, reduce gender disparities, and ultimately improve survival of heart attack patients – both men and women. female.

Source: Eurekalert

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