Teaching AI about symmetry could improve reliability of prenatal diagnoses, using MRI-based movement tracking to aid earlier detection of developmental anomalies.
Read the original at news.mit.edu→An MRI scan of a fetal brain (outlined in yellow) in the sagittal position. E(3)-Pose is a model that helps track movement in an MRI of the fetus’s brain. The model could help clinicians make earlier and more...
Original headline: "Why teaching AI about symmetry could make prenatal diagnosis more reliable"
Coverage timeline
- Oct 19, 18:20 UTC MIT News (AI) lead source Why teaching AI about symmetry could make prenatal diagnosis more reliable