MAPI-GNN: Advancing Multimodal Medical Diagnosis with Graph Neural Networks

The article introduces MAPI-GNN, a novel approach using Graph Neural Networks to tackle multimodal medical diagnosis, potentially improving diagnostic accuracy. The paper's impact lies in its application of advanced deep learning techniques within the critical field of healthcare.

• •MAPI-GNN utilizes Graph Neural Networks (GNNs).
• •It addresses the challenges of multimodal medical data.
• •The research aims to enhance diagnostic accuracy.