This report synthesises findings from 16 peer-reviewed papers addressing the following research question: Can curriculum-based multi-task learning improve the inference efficiency and alignment stability of large multimodal models trained on augmented sparse medical image-text pairs. 9 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 7.8/10. This report is a machine-generated literature synthesis and does not constitute original research.Research goal: Can curriculum-based multi-task learning improve the inference efficiency and alignment stability of large multimodal models trained on augmented sparse medical image-text pairs?Autonomous literature synthesis. Automated review score: 7.8/10. Full text and citation available at Assignee Research.