About Princeton Medical Systems

The organization behind VIDS

We maintain the Verified Imaging Dataset Standard, run its public governance, publish the reference implementations and research around it, and train people to work with medical imaging data. Our work is to make dataset documentation something anyone can check.

Our Story

From a Gap in the Market to an Open Standard

Princeton Medical Systems was founded in March 2024 in Chennai, India.

Working with imaging data for AI, the team kept meeting the same problem: datasets whose documentation could not be checked, only described.

The answer was a standard rather than a product: VIDS, published in April 2026 as an open specification under CC BY 4.0 with an open-source validator on PyPI and public reference implementations on Zenodo. PMS stewards that standard.

Our Mission

To make medical imaging dataset documentation checkable by anyone, through an open standard that any developer, buyer or reviewer can run for themselves.

Our Vision

Every medical imaging dataset used to build or evaluate AI carries documentation that is structured, versioned and checkable against an open standard.

Our Journey

Company Timeline

March 2024

Founded

Princeton Medical Systems established with a mission to solve medical imaging data quality.

Mid 2024

First DICOM Tools Launched

Released initial suite of DICOM conversion and de-identification tools for developers.

Late 2024

VIDS development began

Began developing VIDS as an open standard for medical imaging dataset documentation.

Early 2025

Talent Pipeline Established

Published Udemy courses and established structured training programs for medical imaging AI engineers.

January 2026

SJIT University Partnership

Signed MOU with SJIT University to advance medical imaging AI education and research.

2025

First reference implementation work begins

Work began on structured reference implementations for medical imaging dataset documentation and provenance.

April 2026

VIDS Public Release

Published VIDS as an open specification under CC BY 4.0, with the reference validator on PyPI, LIDC-Hybrid-100 on Zenodo and the founder-authored preprint on arXiv.

2026

Public governance, Advisory Council and extensions

Expanded VIDS through public governance, an Advisory Council and modality-specific work including VIDS-Fundus 1.0.

Leadership Team

Dr. Joan S. Muthu, Ph.D.

Co-Founder & Chief Technology Officer · VIDS Technical Steward

Dr. Joan S. Muthu brings over 14 years of experience in DICOM engineering, medical image interoperability, and AI/ML for medical imaging. She holds a Ph.D. in Computer Science and Engineering, with doctoral research in DICOM file security that led to a granted Indian patent and a Gold Medal for Best Research Paper. Joan has published six peer-reviewed papers in SCI- and Scopus-indexed journals and serves as a peer reviewer for Springer Nature. As primary author of the VIDS specification, Joan led development of the open-source reference validator and LIDC-Hybrid-100, published as a VIDS reference implementation.

At Princeton Medical Systems, Joan leads the technical development and stewardship of VIDS, covering spatial geometry, metadata structure and traceability in medical imaging datasets.

John Shalen R

Co-Founder & Chief Operating Officer

John Shalen R brings a distinctive combination of clinical data standards expertise, statistical programming, and hands-on operational leadership to the company's mission. He has direct experience in regulatory-aligned data workflows, having developed clinical trial datasets to CDISC standards (SDTM & ADaM) using R and SAS. John previously built a company's team and operational infrastructure from the ground up as General Manager and Director at Orthogonus Technologies.

At Princeton Medical Systems, John supports organizations adopting VIDS and contributes to the commercial, regulatory and operational development of the company.

John Xavier

Head of US Operations

John Xavier leads PMS's US presence, supporting partnerships, industry outreach and market development for VIDS, the Verified Imaging Dataset Standard. Prior to joining Princeton Medical Systems, John built and scaled clinical data businesses serving pharmaceutical, biotechnology and healthcare organizations, with a focus on regulated data environments, operational excellence and global delivery. Through that work, he developed a deep appreciation for the role that data quality, traceability and documentation play in AI development and evidence generation.

Based in New Jersey, John works with imaging AI companies, healthcare organizations and dataset developers across the United States to support the adoption of documented, verifiable approaches to medical imaging data governance, expanding PMS's US presence and growing adoption of VIDS among imaging AI developers and healthcare institutions.

Our Principles

What Drives Us

The standard is open

The VIDS specification is published under CC BY 4.0, the validator is open source, and reference implementations are freely available with DOIs. Anyone can check our work.

The standard stays independent of commercial work

PMS may provide commercial services, but those engagements do not change VIDS requirements, governance, validator results or access to the standard. PMS does not sell special standing under VIDS, and no client receives a different conformance standard.

Documentation, not judgment

VIDS verifies that documentation is present and structured; it does not certify a dataset. We say what the standard checks and nothing more.

Join Us

We maintain an open standard for an industry that needs one. If you work on medical imaging data, dataset documentation or open standards, we would like to hear from you.

careers@princetonmedicalsystems.com