Case Summary: 

We are pleased to share the approval of an EB-2 National Interest Waiver petition filed on behalf of an exceptionally talented researcher from South Korea whose work stands at the intersection of artificial intelligence and healthcare innovation. Despite receiving a Request for Evidence (RFE) in early 2025, the petition was approved following a robust response that demonstrated the clear national benefit of the client’s work.

Advancing Clinical AI Systems with Real-World Utility

The client’s proposed endeavor is focused on the development of publicly accessible clinical large language models (LLMs) and the creation of synthetic electronic health record (EHR) benchmarks. His goal is to integrate AI into healthcare workflows in a way that enhances clinical decision-making while preserving patient privacy.

His contributions address key national concerns: ensuring U.S. leadership in artificial intelligence while safeguarding the ethical use of patient data. By designing synthetic datasets that accurately simulate patient records without compromising privacy, the client enables researchers and developers to train and evaluate models in real-world scenarios without risk to personal data integrity.

Track Record of Impact and Peer Validation

The client’s publications include 5 peer-reviewed conference papers and 1 pre-print, many of which have been featured in the top-ranked conferences in AI, such as the Conference on Neural Information Processing Systems (NeurIPS) and the Meeting of the Association for Computational Linguistics (ACL). His papers have already garnered 68 citations, with five of his papers ranking among the most highly cited in computer science for their respective years.

For example:

● One publication ranks in the top 0.1% most cited for its year.
● Another appears in the top 1% most cited, and
● Three more rank in the top 10% most cited in the field.

These citation rates reflect the real-world adoption and influence of his work, which has already shaped research in areas such as benchmarking AI in medical decision-making, automated clinical documentation, and multi-modal AI reasoning involving EHR and medical imaging.

Funding and Critical Technology Alignment

The client’s research direction aligns with the U.S. government’s list of Critical and Emerging Technologies (CET) and the objectives laid out in the 2023 Executive Order on AI Development. His focus on LLMs, generative AI, and synthetic data frameworks represents vital infrastructure for the future of healthcare, national security, and economic growth.

His work is further validated by interest from industry leaders, with prospective employment at institutions such as Microsoft Health Futures, reflecting both the demand for his expertise and the societal importance of his contributions.

Well-Positioned for Continued Success

The petition demonstrated that the client is well-positioned to advance his proposed endeavor, not only through his scholarly output and technical skills but also through the demonstrated adoption of his models by the AI research community.

His published models are already benchmarks for others, providing the basis for continued innovation across multiple domains. The client’s capacity to influence both academic research and commercial AI application positions him as a vital contributor to the national interest.

This case is a strong example of how pioneering work in artificial intelligence, especially at the critical juncture with healthcare, can meet the Matter of Dhanasar criteria and gain swift approval under EB-2 NIW, even with procedural hurdles like an RFE. We are proud to support researchers like this one, whose innovations are redefining both the technical and ethical standards for AI in medicine.