Leveraging multimodal machine learning for accurate risk identification of intimate partner violence.

Published in npj Women s Health · View the paper (DOI)

Researchers developed an AI tool to predict patients at risk of intimate partner violence, using data from medical visits. The tool achieved high accuracy in detecting IPV among patients, with the multimodal fusion model outperforming others, detecting risk 88% of the time.

Leveraging multimodal machine learning for accurate risk identification of intimate partner violence.

Coverage from 2 institutions