Middle East AI

Weekly Digest

Jun 23 – Jun 29, 2025

Top Stories

Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings

arXiv · · Healthcare Research

Researchers from MBZUAI introduce Forget-MI, a machine unlearning method tailored for multimodal medical data, enhancing privacy by removing specific patient data from AI models. Forget-MI utilizes loss functions and perturbation techniques to unlearn both unimodal and joint data representations. The method demonstrates superior performance in reducing Membership Inference Attacks and improving data removal compared to existing techniques, while preserving overall model performance and enabling data forgetting.

MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering

arXiv · · Research NLP

This paper introduces MOTOR, a multimodal retrieval and re-ranking approach for medical visual question answering (MedVQA) that uses grounded captions and optimal transport to capture relationships between queries and retrieved context, leveraging both textual and visual information. MOTOR identifies clinically relevant contexts to augment VLM input, achieving higher accuracy on MedVQA datasets. Empirical analysis shows MOTOR outperforms state-of-the-art methods by an average of 6.45%.