activity
20232026
most citedComputationally Assisted Quality Control for Public Health Data Streams

2 citations · 2 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

Clinician-Grounded Quality Assurance for AI-Assisted Psychiatric Intake

King Shi, Amanda Li, Jonathan Ivey +7

Before patients can use AI-assisted psychiatric intake systems, health systems need practical ways to routinely evaluate these tools against their clinical standards for quality as…

cs.AI2026

Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

Rhea Makkuni, Ananya Joshi

Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale heal…

cs.AI2026

Constrained Process Maps for Multi-Agent Generative AI Workflows

Ananya Joshi, Michael Rudow

Large language model (LLM)-based agents are increasingly used to perform complex, multi-step workflows in regulated settings such as compliance and due diligence. However, many age…

cs.AI2025

Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMs

Ivan Chulo, Ananya Joshi

Recent work shows activation steering substantially improves language models' Theory of Mind (ToM) (Bortoletto et al. 2024), yet the mechanisms of what changes occur internally tha…

cs.AI2025

An AI-Based Public Health Data Monitoring System

Ananya Joshi, Nolan Gormley, Richa Gadgil +3

Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional ale…

cs.AI2024

Outlier Ranking in Large-Scale Public Health Streams

Ananya Joshi, Tina Townes, Nolan Gormley +3

Disease control experts inspect public health data streams daily for outliers worth investigating, like those corresponding to data quality issues or disease outbreaks. However, th…

cs.AI2023★ 2 cited

Computationally Assisted Quality Control for Public Health Data Streams

Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld +1

Irregularities in public health data streams (like COVID-19 Cases) hamper data-driven decision-making for public health stakeholders. A real-time, computer-generated list of the mo…