Other content tagged: artificial intelligence
Estimating pregnant women’s’ risk of pre-eclampsia using artificial intelligence – with a focus on expectant mothers around the world
The leading cause of maternal deaths continues to be pre-eclampsia. The disease causes 46,000 maternal deaths annually as well as preterm birth, low birth weight and stillbirths. Although living in a country with a lower gross domestic product increases the risk of pre-eclampsia, pregnant women from these countries are underrepresented in pre-eclampsia research. To address this issue, a new risk prediction model called PIERS-ML was developed, including more than 10,000 women from the…
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Examining the most common risk factors for preterm birth (PTB): Can artificial intelligence predict PTB?
For healthcare professionals, it can be difficult to assess the risk of PTB because risk factors can vary from one woman to another. Women who have already been pregnant (parous women) have different and additional risk factors than those in their first pregnancy (nulliparous women). In addition, there are individual aspects to consider. Therefore, machine learning models can serve as screening tools and help clinicians to assess the individual woman’s risk factors, even…
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