Linguistic Indicators of Severity and Progress in Online Text-based Therapy for Depression

Automatic Detection of Psychological Distress Indicators and Severity Assessment from Online Forum Posts

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization

Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudinal progression. This paper proposes Con…

Gradient based Severity Labeling for Biomarker Classification in OCT

In this paper, we propose a novel selection strategy for contrastive learning for medical images. On natural images, contrastive learning uses augmentations to select positive and negative pairs for the contrastive loss.…

Triaging Content Severity in Online Mental Health Forums

Mental health forums are online communities where people express their issues and seek help from moderators and other users. In such forums, there are often posts with severe content indicating that the user is in acute …

World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews

Background: Oral histories from 9/11 responders to the World Trade Center (WTC) attacks provide rich narratives about distress and resilience. Artificial Intelligence (AI) models promise to detect psychopathology in natu…