Recent Advances In Multimodal Transformers For Medical Image And Clinical Text Analysis

Abstract

Multimodal transformers, the latest AI models, can understand medical images along with clinical text like reports and patient notes. These models help doctors diagnose diseases more accurately and quickly. This review explains how these models are built and the data they learn from. Here, the challenges such as limited data, privacy concerns and the need for better explainability, are also explained in brief. Finally, the review also highlights future goals such as stronger and better foundation models and better standards for evaluating these systems.