Actividades asistenciales

Misinformation Span Detection in Videos via Audio Transcripts

- Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy, and public health risks. Misinformation...

Unbiased Prevalence Estimation with Multicalibrated LLMs

- Estimating the prevalence of a category in a population using imperfect measurement devices (diagnostic tests, classifiers, or large language models) is fundamental to science, public health, and...

Measuring Opinion Bias and Sycophancy via LLM-based Coercion

- Large language models increasingly shape the information people consume: they are embedded in search, consulted for professional advice, deployed as agents, and used as a first stop for questions...

Conditional anomaly detection with soft harmonic functions

- In this paper, we consider the problem of conditional anomaly detection that aims to identify data instances with an unusual response or a class label. We develop a new non-parametric approach for...

CARE: Counselor-Aligned Response Engine for Online Mental-Health Support

- Mental health challenges are increasing worldwide, straining emotional support services and leading to counselor overload. This can result in delayed responses during critical situations, such as...

Trustworthy Clinical Decision Support Using Meta-Predicates and Domain-Specific Languages

- \textbf{Background:} Regulatory frameworks for AI in healthcare, including the EU AI Act and FDA guidance on AI/ML-based medical devices, require clinical decision support to demonstrate not only...

Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness

- Multimodal clinical records contain structured measurements and clinical notes recorded over time, offering rich temporal information about the evolution of patient health. Yet these observations are...

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

- At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-recorded video libraries...

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering

- Electronic health record (EHR) question answering is often handled by LLM-based pipelines that are costly to deploy and do not explicitly leverage the hierarchical structure of clinical data....

Can Virtual Agents Care? Designing an Empathetic and Personalized LLM-Driven Conversational Agent

- Mental health challenges are rising globally, while traditional support services face limited availability and high costs. Large language models offer potential for conversational support, but often...

Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records

- We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can identify patients at high probability of glaucoma using only systemic electronic health records...

Beyond the Binary: Motivations, Challenges, and Strategies of Transgender and Non-binary Software Engineering Students

- When software is designed by people from diverse identities and experiences, it is more likely to be inclusive and address a broader range of user needs. However, for transgender and non-binary...

Inclusive Ranking of Indian States and Union Territories via Bayesian Bradley-Terry Model

- Ranking geographical or administrative units, such as countries or states, is a well-known approach for comparing developmental progress and informing evidence-based policymaking. Existing ranking...

Thymic health consequences in adults

LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X

- We propose and test the LLM Brain Rot Hypothesis: continual exposure to junk web text induces lasting cognitive decline in large language models (LLMs). To unveil junk effects, we designed a novel...

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation

- Community Notes, the crowd-sourced misinformation governance system on X (formerly Twitter), allows users to flag misleading posts, attach contextual notes, and rate the notes' helpfulness....

Cultivating Multidisciplinary AI Workforce Development on iTiger GPU Cluster: Practices and Challenges

- To support rapid AI advances and broaden access to large-scale computing resources for under-resourced institutions at the Mid-South, we established the first regional mid-scale GPU cluster at the...

Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias

- Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fairness metrics,...

Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health

- Accurate condition monitoring of industrial equipment requires inferring latent degradation parameters from indirect sensor measurements under uncertainty. While traditional Bayesian methods like...

Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs

- Rising demand for mental health support has increased interest in using Large Language Models (LLMs) for counseling. However, adapting LLMs to this high-risk safety-critical domain is hindered by the...

Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders

- Building trustworthy AI systems for mental health support is a shared priority across stakeholders from multiple disciplines. However, "trustworthy" remains loosely defined and inconsistently...