Machine learning is revolutionizing healthcare, including pregnancy risk prediction, by enabling early and accurate identification of high-risk pregnancies by analyzing extensive data sources.
By 2026, machine learning is expected to transform pregnancy risk prediction, allowing for personalized risk assessments based on data from electronic health records and medical imaging.
This advancement will help healthcare providers intervene earlier, leading to improved outcomes for both mothers and babies.
The potential of machine learning in maternity care was highlighted when a friend's experience with traditional risk factors sparked curiosity about the impact of predictive technology in healthcare.