FOR IMMEDIATE RELEASE
Nexus-MD Launches Offline De-ID: On-Premise De-identification Solution Powered by NVIDIA and HPE
New solution enables research institutions and hospitals to de-identify medical imaging data without cloud exposure, ensuring maximum security and regulatory compliance
San Francisco, CA – November 1, 2025
Nexus-MD, the leading medical imaging workflow automation platform, today announced the launch of Offline De-ID, an on-premise solution for de-identifying Protected Health Information (PHI) in medical imaging datasets. Built on enterprise infrastructure from HPE and accelerated by NVIDIA's cutting-edge GPU technology, Offline De-ID addresses the growing need for secure, compliant de-identification in healthcare research and AI development.
The Challenge: Security Meets Scale
As healthcare institutions increasingly leverage medical imaging data for research and AI training, protecting patient privacy has become paramount. Traditional cloud-based de-identification services require uploading sensitive data to external servers, creating security vulnerabilities and compliance concerns that many institutions find unacceptable.
"Research institutions and hospitals told us they needed a way to de-identify large imaging datasets without ever sending patient data outside their secure environment," said Ali Bakhshinejad, PhD, CEO of Nexus-MD. "Offline De-ID delivers enterprise-grade performance while ensuring data never leaves the facility. It's the best of both worlds—security and speed."
How It Works
Offline De-ID operates entirely on-premise, eliminating the need for internet connectivity or cloud services. The solution:
- Integrates with existing PACS infrastructure without workflow disruption
- Uses AI-powered detection to identify PHI in DICOM headers, pixel data, and embedded text
- Automatically removes or anonymizes sensitive information according to HIPAA Safe Harbor standards
- Provides complete audit trails for compliance and accountability
Powered by Industry Leaders
The solution leverages NVIDIA's Grace Blackwell architecture with 5th generation Tensor Cores for GPU-accelerated AI processing, combined with HPE's enterprise-grade infrastructure for reliability and scalability.
"This partnership demonstrates how cutting-edge hardware can solve real-world healthcare challenges," added Ayin Vala, Chief AI Officer at Nexus-MD. "We're processing thousands of studies per day with the same AI models used in cloud solutions, but with the security guarantees that research institutions require."
Who Benefits
Offline De-ID is designed for organizations that prioritize data security and regulatory compliance:
Research Institutions
Prepare datasets for multi-center studies and AI model training while maintaining complete data sovereignty
Hospital Systems
Create de-identified datasets for quality improvement and retrospective research
Life Sciences Companies
Manage clinical trial imaging data securely throughout the trial lifecycle
Health IT Teams
Clean data for system migrations, archival, and testing environments
Availability
Offline De-ID is available now. Organizations interested in learning more can visit nexus-md.com/for-researcher-series or contact the Nexus-MD team directly.
About Nexus-MD
Nexus-MD is the leading medical imaging workflow automation platform, trusted by healthcare organizations nationwide to streamline image exchange, eliminate manual processes, and improve patient care. Connected to 41,000+ imaging sites across the United States, Nexus-MD processes millions of medical images annually, saving thousands of staff hours and reducing reliance on outdated CD-based workflows.
For more information, visit nexus-md.com
Media Contact
Email: [email protected]
Phone: +1 (415) 523-4442