Prompt-driven multi-instance CLIP: Aligning heterogeneous modalities with missing data tolerance for multi-modal medical analysis

Key Points

• The proposed model enhances alignment capabilities for different medical modalities, improving analysis accuracy.
• Key evidence includes a reduction in data loss impact, showing robust performance even with missing data.
• Utilizing a prompt-driven multi-instance approach, the analysis showcases effective integration of numerous modalities.
• These findings indicate potential advancements in multi-modal medical analysis, supporting future research integration.