Discover how John Snow Labs’ Medical VLM-24B is transforming radiology with vision-language models that integrate medical imaging and clinical text for accurate, scalable, and explainable AI-driven diagnostics.
Radiology is central to modern healthcare, yet its rapid growth in imaging volume has strained clinical workflows and introduced variability in diagnostic interpretation. Recent advancements in artificial intelligence, particularly in...
RAG is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside its training data before generating a response. It has...
What is regulatory-grade de-identification in healthcare? Regulatory-grade de-identification refers to the process of systematically transforming or removing Protected Health Information (PHI) to comply with laws like HIPAA and GDPR. It...
De-Identifying Whole Slide Images (WSI) on AWS SageMaker: Complete Deployment Walkthrough — Part 3 Protected health information (PHI) is often embedded in SVS files used by healthcare professionals. As explained...
Automated De-identification of SVS and DICOM Whole Slide Images Using Visual NLP As discussed in Part 1, Whole Slide Images (WSI) in formats like SVS and DICOM often contain Protected...
Demos
See More