Demos
John Snow Labs, a healthcare AI company, today announced that it has been selected by Amazon Web Services (AWS) to showcase its generative AI solutions in the AWS Booth at RSNA 2025, the world’s largest medical imaging conference. Hosted by The Radiological Society of North America, this year’s event, “Imaging the Individual,” will take place November 30–December 4 in Chicago.
John Snow Labs will showcase how healthcare organizations can accelerate generative AI adoption using secure, scalable, and compliant solutions running on AWS. John Snow Labs’ COO Linda Chen will present a live demo, “Multi-modal Patient Journey with Generative AI,” exploring how integrated clinical workflows powered by John Snow Labs’ healthcare language models and AWS Generative AI services enable:
- Automated DICOM de-identification at scale with AWS HealthImaging
- Amazon SageMaker JumpStart Medical LLMs ready for deployment
- Medical Vision-Language Models (VLMs) for radiology image interpretation
- Healthcare-specific data preparation pipelines for clinical-grade accuracy
- Clinical question answering models tailored for medical workflows
- AWS HealthLake integration and secure AI infrastructure
- Turnkey LLM and NLP tools available in AWS Marketplace
The presentation will highlight how real-world healthcare data – including imaging, reports, and electronic health record (EHR) notes – can be combined to produce a holistic patient view that improves clinical decision support, radiology efficiency, and patient safety.
Overview of the DICOM medical images de-identification process
“We’re honored to be selected by AWS for this showcase at RSNA,” said Chen. “Healthcare organizations are eager to deploy AI solutions that are not only powerful, but secure, trustworthy, and compliant. We’re making it easier than ever to operationalize AI in clinical workflows the right way, safely and at scale.”
