Evaluating for Evidence of Sociodemographic Bias in Conversational AI for Mental Health Support.

The integration of large language models (LLMs) into healthcare highlights the need to ensure their efficacy while mitigating potential harms, such as the perpetuation of biases. Current evidence on the existence of bias within LLMs remains inconclusive. In this study, we present an approach to investigate the presence of bias within an LLM designed for mental health support.

The Role of Virtual Reality in the Management of Irritable Bowel Syndrome.

Purpose Of Review: Irritable bowel syndrome (IBS) is a disorder of gut-brain interaction that significantly impacts health-related quality of life (HRQOL). This article explores the potential role of virtual reality (VR)-based cognitive behavioral therapy (CBT) in treating patients with IBS.

Recent Findings: While CBT is a proven, skills-based therapy approach that modifies behaviors and alters dysfunctional thinking patterns to influence the gut-brain axis and improve IBS symptoms, it is rarely prescribed given a paucity of CBT-trained clinicians.

Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling.

Agent-based modelling has emerged as a powerful tool for modelling systems that are driven by discrete, heterogeneous individuals and has proven particularly popular in the realm of pedestrian simulation. However, real-time agent-based simulations face the challenge that they will diverge from the real system over time. This paper addresses this challenge by integrating the ensemble Kalman filter (EnKF) with an agent-based crowd model to enhance its accuracy in real time.