Confidential — Stefan Michaelcheck Only

AI-Driven Medical Device Risk Management: A New Paradigm Integrating Large Language Models and Prompt Engineering for Standard-Risk Knowledge Graph Construction and Application

2026application demonstrationapplicationsystem

Wanting Zhu, Li Wang, W. Li, Peiming Zhang, Ziming Gao, Ruixue Tian, Wenke Xia

Risk Management and Healthcare Policy

https://doi.org/10.2147/rmhp.s571156OpenAlex: W7119474438
5
URLs Found
0
Internal Citations
7
Authors
thin
Abstract Quality
GPT-5.5 Abstract Analysis

Problems Identified (4)

Medical Device Risk Management: The paper addresses risk management for medical devices, specifically involving standard-risk knowledge organization.

Standard-Risk Knowledge Graph Construction: The paper targets construction and application of a standard-risk knowledge graph.

Medical Device Risk Management: The paper addresses risk management for medical devices, specifically involving standard-risk knowledge organization.

Standard-Risk Knowledge Graph Construction: The paper targets construction and application of a standard-risk knowledge graph.

Proposed Solutions (2)

LLM Prompted Risk Knowledge Graph: The proposed approach constructs a standard-risk-oriented knowledge graph by integrating large language models with prompt engineering.

LLM Prompted Risk Knowledge Graph: The proposed approach constructs a standard-risk-oriented knowledge graph by integrating large language models with prompt engineering.

Research Domain

AI-driven medical device risk management / knowledge graphs

← Back to all papers