Mass General Brigham researchers developed AI models that use EMR, including radiology data, to predict risk for intimate partner violence (IPV) years before patients seek care.
Key Details
- 1AI pipeline trained on 673 IPV cases and 4,169 controls using EMR data from 2017-2022.
- 2Models included structured data, unstructured clinical notes, and radiology/emergency department reports.
- 3The fusion 'Holistic AI in Medicine (HAIM)' model achieved the highest accuracy (88%).
- 4Fusion model could predict 80.5% of IPV cases on average 3.7 years before patients sought care.
- 5Validated on two external datasets with similarly high accuracy.
- 6Research led by Mass General Brigham radiologist; funded by NIBIB and NIH.
Why It Matters
Early detection of IPV could allow healthcare providers to intervene and prevent serious harm. Demonstrates the unique value of including radiology and unstructured EMR data in risk prediction models for vulnerable patient groups.
Source
EurekAlert
Related News
•EurekAlert
Researchers Develop All-Optical Synapse for Neuromorphic Imaging Systems
A new artificial synapse, controlled entirely by light, enables in-sensor neuromorphic processing for more efficient and noise-resistant imaging systems.
•EurekAlert
Mayo Clinic Showcases Imaging AI and Early Cancer Detection Advances at ASCO 2026
Mayo Clinic researchers will present over 30 studies at ASCO 2026, highlighting new advances in imaging AI, data science, and early cancer detection.
•EurekAlert
AI-Simulation Approach Achieves 90% Faster Brain MRI with Minimal Data
A simulation-based AI method can reconstruct brain MRI scans with only 10% of the usual data, greatly reducing scan times.