arXiv AI
Aug 28

Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models

The paper presents a pipeline that uses Large Language Models (LLMs) to extract information from 536 peer‑reviewed agent‑based modeling papers for systematic literature reviews (SLRs). GPT‑4.1 achieves about 77.95% paper‑level accuracy, while GPT‑5.0 reaches 81.67%. Field‑level accuracy varies widely, and the study notes that agreement between LLMs can signal output quality, with low agreement indicating hallucinations and high agreement with low accuracy suggesting noise in the human dataset.

By Orhan Yagizer Cinar, Timur Emre Ozkose, Emma Von Hoene, Amira Roess, Taylor Anderson, Hamdi Kavak
arXiv AI
Oct 31

Can AI Agents Interface Clinicians and Complex Models?

The article introduces EpidemIA, a training‑free AI Multi Agent System that lets users interact with epidemiological models and perform statistical analyses through natural language conversations. Built on a single‑GPU workstation, it incorporates a modular suite of expert‑written models and an open‑weights LLM to keep data local. Using Emergency Department visit data from IRCCS Sant'Orsola, the system demonstrates both simple statistical queries and complex dynamical predictions via natural language.

By Giulio Colombini, Matteo Falcioni, Mario Massimo, Francesco Durazzi, Marianna Santoro, Paolo Tubertini, Mirko Degli Esposti, Armando Bazzani
Hugging Face Trending Papers
Oct 29

Can AI Agents Interface Clinicians and Complex Models?

The paper presents EpidemIA, a training‑free AI Multi Agent System that lets clinicians and administrators use epidemiological models and perform statistical analyses through natural language conversations. The system runs on a single‑GPU workstation, employs a locally hosted open‑weights LLM to keep data private, and includes a modular suite of expert‑written models. Using Emergency Department visit data from IRCCS Sant’Orsola, the authors demonstrate that users can conduct both simple statistical queries and complex dynamical predictions via natural language.