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Refereed

CS016 LLM and Agent Applications II

Thu, Apr 30, 10:30 AM - 12:00 PM Room Regency Ballroom CD Hyatt Regency Milwaukee

Praveen Gupta SankaChair

AI and LLM Applications

3 Presentations

Making Survival Models Conversational: An LLM-Driven Oncology Agent for Multimodal Prognostic Analysis

10:35 AM - 11:00 AM

Co-authors: Xavier Merino (Florida Institute of Technology), Thu Thu Hlaing, Nezamoddin N Kachouie (Florida Institute of Technology-Department of Mathematical Sciences), Nezamoddin N Kachouie (Florida Institute of Technology-Department of Mathematical Sciences)

Large Language Models (LLMs)Tool-Augmented Agents Multimodal AI Systems LLM Integration in Data Pipelines Model Interpretability Oncology

AI-derived reproductive phenotypes and LLM-generated risk narratives for early multimorbidity among U.S. women

11:00 AM - 11:25 AM

Co-authors: Sunday Adetunji (Oregon State University), Sunday Adetunji (Oregon State University)

maternal health, reproductive history, multimorbidity, NHANES cardiometabolic risk, renal disease, depression, phenotyping representation learning, SHAP, XGBoost, risk prediction LLM, large language models, explainable AI, patient narratives women’s health, life-course epidemiology, chronic disease clinical decision support, primary care, cardio-renal risk

AutoStat: A Multi-Agent Intelligent System for Automated Exploratory and Inferential Statistical Analysis

11:25 AM - 11:50 AM

Co-authors: Anusha Shetty (PES UNIVERSITY BANGALORE), CH Nirmal sai, Uma Damotharan (PES University), Nivedithaa Lakshmanasamy (PES University), Uma Damotharan (PES University)

Automatic Statistical Analysis Large Language Model Multi-Agent Framework Orchestration Prompt Engineering Uni and Bivariate Analysis

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