# E(3)-Pose

Published articles for E(3)-Pose.

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## Why teaching AI about symmetry could make prenatal diagnosis more reliable

DevFeed: [Why teaching AI about symmetry could make prenatal diagnosis more reliable](<https://devfeed.tech/articles/why-teaching-ai-about-symmetry-could-make-prenatal-diagnosis-more-reliable-90336.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/teaching-ai-about-symmetry-could-make-prenatal-diagnosis-more-reliable-1019>)

Author: Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health

Published: 2026-10-19T18:20:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [model architecture](<https://devfeed.tech/topics/model-architecture.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-in-medicine](<https://devfeed.tech/tags/ai-in-medicine.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [boston-children-s-hospital](<https://devfeed.tech/tags/boston-children-s-hospital.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [deep](<https://devfeed.tech/tags/deep.md>), [e-3-pose](<https://devfeed.tech/tags/e-3-pose.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [elfar-adalsteinsson](<https://devfeed.tech/tags/elfar-adalsteinsson.md>), [fetal-development](<https://devfeed.tech/tags/fetal-development.md>), [fetal-health](<https://devfeed.tech/tags/fetal-health.md>), [fetal-imaging](<https://devfeed.tech/tags/fetal-imaging.md>), [health-care](<https://devfeed.tech/tags/health-care.md>), [health-sciences-and-technology](<https://devfeed.tech/tags/health-sciences-and-technology.md>), [imaging](<https://devfeed.tech/tags/imaging.md>), [jameel-clinic](<https://devfeed.tech/tags/jameel-clinic.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [medical-devices](<https://devfeed.tech/tags/medical-devices.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [mit-college-of-computing](<https://devfeed.tech/tags/mit-college-of-computing.md>), [mit-csail](<https://devfeed.tech/tags/mit-csail.md>), [mit-ibm-computing-research-lab](<https://devfeed.tech/tags/mit-ibm-computing-research-lab.md>), [mit-jameel-clinic](<https://devfeed.tech/tags/mit-jameel-clinic.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [mit-takeda-program](<https://devfeed.tech/tags/mit-takeda-program.md>), [model](<https://devfeed.tech/tags/model.md>), [mri-scans](<https://devfeed.tech/tags/mri-scans.md>), [national-institutes-of-health-nih](<https://devfeed.tech/tags/national-institutes-of-health-nih.md>), [nih-funding](<https://devfeed.tech/tags/nih-funding.md>), [polina-golland](<https://devfeed.tech/tags/polina-golland.md>), [ramya-muthukrishnan](<https://devfeed.tech/tags/ramya-muthukrishnan.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [women-s-health](<https://devfeed.tech/tags/women-s-health.md>)

### AI overview

MIT and Boston Children's Hospital researchers developed E(3)-Pose, a deep learning model that tracks fetal head motion during MRI to help produce higher-resolution images for prenatal diagnosis. The model embeds left-right symmetry in its architecture to better identify brain orientation. It is currently trained primarily on third-trimester fetuses, and researchers hope to adapt it for earlier pregnancies.

### Source excerpt

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.