most citedThe Use of Readability Metrics in Legal Text: A Systematic Literature Review

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance

Yu Han, Aaron Ceross, Jeroen H. M. Bergmann

Identifying the appropriate regulatory standard applicability remains a critical yet understudied challenge in medical device compliance, frequently necessitating expert interpreta…

cs.AI20251 cited

AI for Regulatory Affairs: Balancing Accuracy, Interpretability, and Computational Cost in Medical Device Classification

Yu Han, Aaron Ceross, Jeroen H. M. Bergmann

Regulatory affairs, which sits at the intersection of medicine and law, can benefit significantly from AI-enabled automation. Classification task is the initial step in which manuf…

cs.LG2025

Toward Automated Regulatory Decision-Making: Trustworthy Medical Device Risk Classification with Multimodal Transformers and Self-Training

Yu Han, Aaron Ceross, Jeroen H. M. Bergmann

Accurate classification of medical device risk levels is essential for regulatory oversight and clinical safety. We present a Transformer-based multimodal framework that integrates…

cs.CY2024

Transforming Medical Regulations into Numbers: Vectorizing a Decade of Medical Device Regulatory Shifts in the USA, EU, and China

Yu Han, Jeroen Bergmann

Navigating the regulatory frameworks that ensure the safety and efficacy of medical devices can be challenging, especially across different regions. These frameworks often require…

cs.CL20242 cited

The Use of Readability Metrics in Legal Text: A Systematic Literature Review

Yu Han, Aaron Ceross, Jeroen H. M. Bergmann

Understanding the text in legal documents can be challenging due to their complex structure and the inclusion of domain-specific jargon. Laws and regulations are often crafted in s…