Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Planning with Vision-Language Models and a Use Case in Robot-Assisted Teaching

Automating the generation of Planning Domain Definition Language (PDDL) with Large Language Model ...

LLM Assistance for Pediatric Depression

Traditional depression screening methods, such as the PHQ-9, are particularly challenging for chil...

Towards Explainable Multimodal Depression Recognition for Clinical Interviews

Recently, multimodal depression recognition for clinical interviews (MDRC) has recently attracted ...

MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answer

The Mental Health Question Answer (MHQA) task requires the seeker and supporter to complete the su...

Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue

Stigma has emerged as one of the major obstacles to effectively diagnosing depression, as it preve...

Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling

The vast repositories of Electronic Health Records (EHR) and medical claims hold untapped potentia...

DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment

In today's interconnected society, social media platforms have become an important part of our liv...

Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models

Mental disorders have become a significant global public health issue, while the shortage of psych...

Spatial modeling of mental health on outpatient morbidity in Kenya

A mental health disorder is a clinically significant impairment in a persons intellect, emotional ...

A Layered Multi-Expert Framework for Long-Context Mental Health Assessments

Long-form mental health assessments pose unique challenges for large language models (LLMs), which...

An Integrated Approach to AI-Generated Content in e-health

Artificial Intelligence-Generated Content, a subset of Generative Artificial Intelligence, holds s...

Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection

Functional Magnetic Resonance Imaging (fMRI) provides useful insights into the brain function both...

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection

Machine learning bias in mental health is becoming an increasingly pertinent challenge. Despite pr...

AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling

Traditional in-person psychological counseling remains primarily niche, often chosen by individual...

WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning

Current speech encoding pipelines often rely on an additional text-based LM to get robust represen...

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

Existing Theory of Mind (ToM) benchmarks diverge from real-world scenarios in three aspects: 1) th...

Enhanced Large Language Models for Effective Screening of Depression and Anxiety

Depressive and anxiety disorders are widespread, necessitating timely identification and managemen...

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