AI spots at-risk pregnancies for earlier, more personalized prenatal care
Artificial intelligence (AI) may help identify women and babies at risk of serious health problems earlier in pregnancy, according to a new study analyzing data from more than half a million pregnancies across Sweden, Chile and Singapore. The machine learning models, which used information available during the first 14 weeks of pregnancy, generally outperformed the early risk assessment methods…
A new study reveals that artificial intelligence (AI) can predict at-risk pregnancies earlier and more accurately, potentially improving prenatal care across various populations. Analyzing data from over 500,000 pregnancies in Sweden, Chile, and Singapore, machine learning models outperformed traditional risk assessment methods.
The research, published in the Journal of Medical Internet Research, suggests AI could help deliver more personalized and equitable prenatal care by considering social, demographic, and behavioral factors that traditional assessments may miss. While the best-performing models in Sweden and Chile distinguished between high- and low-risk pregnancies better than existing methods, Singapore's models showed a smaller but still significant improvement.
However, the Chilean model's calibration was less reliable, indicating the need for tailored and thoroughly tested AI tools in different populations. The researchers stress that AI should augment, not replace, healthcare professionals, serving as decision-support tools to identify pregnancies that may require closer monitoring or early intervention.
This development points toward a future where prenatal risk assessment incorporates a broader range of factors beyond medical history.
Written by urgent.news from Medical Xpress's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
