62 citations · 84 across the 7 of their papers we have counts for
7 papers
Prompt Sensitivity of Generative Agents: Evidence from an Epidemic Model
Ross Williams, Niyousha Hosseinichimeh
As generative AI gains traction, researchers are investigating its potential to serve as proxies for humans. From undergoing cognitive psychology experiments to experiencing an epi…
CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs
Elham Nasarian, Abhilash Neog, Kwok-Leung Tsui +1
Integrating large language models (LLMs) into patient-facing healthcare systems offers significant potential to improve access to medical information. However, ensuring clinical sa…
From Text to Map: A System Dynamics Bot for Constructing Causal Loop Diagrams
Niyousha Hosseinichimeh, Aritra Majumdar, Ross Williams +1
We introduce and test the System Dynamics Bot, a computer program leveraging a large language model to automate the creation of causal loop diagrams from textual data. To evaluate…
Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence
Navid Ghaffarzadegan, Aritra Majumdar, Ross Williams +1
We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as Generative Agent-…
Epidemic Modeling with Generative Agents
Ross Williams, Niyousha Hosseinichimeh, Aritra Majumdar +1
This study offers a new paradigm of individual-level modeling to address the grand challenge of incorporating human behavior in epidemic models. Using generative artificial intelli…
System modeling of a health issue: the case of preterm birth in Ohio
Alireza Ebrahimvandi, Niyousha Hosseinichimeh
Preterm birth rate (PBR) stands out as a major public health concern in the U.S. However, effective policies for mitigating the problem is largely unknown. The complexities of the…
Understanding State level Variations in U.S. Infant Mortality: 2000 to 2015
Alireza Ebrahimvandi, Niyousha Hosseinichimeh, Jay Iams
Objective: To exploit state variations in infant mortality, identify diagnoses that contributed to reduction of the infant mortality rate (IMR), and examine factors associated with…