Cover Image

From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kandala, Ratna, Moharir, Akshata Kishore, Nayak, Divya Arvinda
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
by: Kandala, Ananth, et al.
Published: (2025)

Designing Explainable Conversational Agentic Systems for Guaraní Speakers
by: Adorno, Samantha, et al.
Published: (2026)

"What if she doesn't feel the same?" What Happens When We Ask AI for Relationship Advice
by: Manchanda, Niva, et al.
Published: (2025)

The Nonverbal Gap: Toward Affective Computer Vision for Safer and More Equitable Online Dating
by: Kandala, Ratna, et al.
Published: (2026)

EchoGuard: An Agentic Framework with Knowledge-Graph Memory for Detecting Manipulative Communication in Longitudinal Dialogue
by: Kandala, Ratna, et al.
Published: (2026)

Conjoined Predication and Scalar Implicature
by: Kandala, Ratna
Published: (2025)

A Unified Representation for Continuity and Discontinuity: Syntactic and Computational Motivations
by: Kandala, Ratna, et al.
Published: (2025)

LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives
by: Kandala, Ratna, et al.
Published: (2025)

Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish?
by: Kandala, Ratna, et al.
Published: (2025)

Towards a Unified System of Representation for Continuity and Discontinuity in Natural Language
by: Kandala, Ratna, et al.
Published: (2025)

Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data
by: Kattamuri, Ashish, et al.
Published: (2025)

FLAME: A New Dataset on FLemish Accounts of Momentary Experiences
by: Kandala, Ratna, et al.
Published: (2025)

Dharma, Data and Deception: An LLM-Powered Rhetorical Analysis of Cow-Urine Health Claims on YouTube
by: Munir, Sheza, et al.
Published: (2026)

When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation
by: Khan, Anamta, et al.
Published: (2026)

Mental Health AI Safety Claims Must Preserve Temporal Evidence
by: Dutta, Srimonti, et al.
Published: (2026)

AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
by: Hu, Jinpeng, et al.
Published: (2025)

MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
by: Zhai, Wei, et al.
Published: (2024)

Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)

Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling
by: Chen, Keqi, et al.
Published: (2025)

From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality
by: Lukassen, Fabian, et al.
Published: (2026)

Explainable AI: XAI-Guided Context-Aware Data Augmentation
by: Mersha, Melkamu Abay, et al.
Published: (2025)

XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
by: Cambria, Erik, et al.
Published: (2024)

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
by: Wu, Xuansheng, et al.
Published: (2024)

Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
by: Gaur, Bhagesh, et al.
Published: (2025)

An Agentic Approach to Generating XAI-Narratives
by: He, Yifan, et al.
Published: (2026)

PsyDraw: A Multi-Agent Multimodal System for Mental Health Screening in Left-Behind Children
by: Zhang, Yiqun, et al.
Published: (2024)

Exploring Complex Mental Health Symptoms via Classifying Social Media Data with Explainable LLMs
by: Chen, Kexin, et al.
Published: (2024)

Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness
by: Loweimi, Erfan, et al.
Published: (2026)

Mentalic Net: Development of RAG-based Conversational AI and Evaluation Framework for Mental Health Support
by: Dutta, Anandi, et al.
Published: (2025)

A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
by: Mandal, Aishik, et al.
Published: (2025)

MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
by: Varadarajan, Vasudha, et al.
Published: (2025)

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
by: Lo, Frank P. -W., et al.
Published: (2025)

ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction
by: Jin, Yiqiao, et al.
Published: (2025)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
by: Zhang, Linhai, et al.
Published: (2025)

AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations
by: Zhu, Jianfeng, et al.
Published: (2025)

Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling
by: Srivastava, Aseem, et al.
Published: (2025)

CliniDial: A Naturally Occurring Multimodal Dialogue Dataset for Team Reflection in Action During Clinical Operation
by: Deng, Naihao, et al.
Published: (2025)

Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
by: Hu, He, et al.
Published: (2025)

Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming
by: Steenstra, Ian, et al.
Published: (2026)

A Layered Multi-Expert Framework for Long-Context Mental Health Assessments
by: Tang, Jinwen, et al.
Published: (2025)