Researchers propose ReportMedSAM, a report-driven segmentation framework that uses a learnable concept bank and frozen medical vision-language encoder (BiomedCLIP) to align organ-level embeddings with…
Researchers developed a vision-language framework using Low-Rank Adaptation (LoRA) on a frozen BiomedCLIP backbone to detect severe adverse events in wound monitoring. The system integrates clinical n…
Researchers at Indiana University found that AI rewriting of radiology reports causes a 'slop paradox' where tasks that produce cleaner text for multimodal training actually degrade image-text alignme…
Voxel51 is hosting a June 9 virtual workshop on building high-performing fine-tuned medical foundation models for clinical imaging tasks. The session will address how expert label disagreement becomes…
Researchers have developed Evi-Steer, a new framework for BiomedCLIP that enables uncertainty-aware fine-tuning of biomedical vision-language models by updating only 0.11% of total parameters. The met…