Why teaching AI about symmetry could make prenatal diagnosis more reliable

A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.

Researchers at MIT and Boston Children's Hospital have developed a model that adjusts ultrasound scans to track fetal movement in real-time.

The model's ability to account for fetal movement could improve the accuracy of prenatal diagnoses, reducing the need for repeat hospital visits.

The model's development is a result of teaching AI about symmetry, a key concept in medical imaging.

The researchers' work aims to make prenatal diagnosis more reliable and efficient, potentially improving patient outcomes and reducing healthcare costs.