A Comprehensive Review of Multimodal Large Language Models for Medical Imaging and Omics Data

Key Points

• Multimodal large language models show promise in enhancing medical imaging interpretation and omics data analysis.
• Integration of data from different medical systems can improve diagnostic accuracy, showing significant potential for patient outcomes.
• The review assesses various algorithms applied to both medical imaging and omics, focusing on their efficacy and challenges.
• These findings highlight the need for improved techniques in data integration, emphasizing implications for future medical practices.