2 papers
cs.CR2026
Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare
Liam Kearns
Agent-based AI has enabled the automation of tasks by exposing application tools and resources to large language models (LLMs). However, to improve scope and accuracy, agents are o…
cs.AI2026
Analysing Environmental Efficiency in AI for X-Ray Diagnosis
Liam Kearns
The integration of AI tools into medical applications has aimed to improve the efficiency of diagnosis. The emergence of large language models (LLMs), such as ChatGPT and Claude, h…