AI RESEARCH
Towards Selection of Large Multimodal Models as Engines for Burned-in Protected Health Information Detection in Medical Images
arXiv CS.CV
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ArXi:2511.02014v2 Announce Type: replace The detection of Protected Health Information (PHI) in medical imaging is critical for safeguarding patient privacy and ensuring compliance with regulatory frameworks. Traditional detection methodologies predominantly utilize Optical Character Recognition (OCR) models in conjunction with named entity recognition. However, recent advancements in Large Multimodal Model (LMM) present new opportunities for enhanced text extraction and semantic analysis.