Psychiatry

Schizophrenia

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

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A Pilot Analysis Investigating the Use of AI in Malingering.

Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transfo...

Jun 2025 39984193
MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models

The integration of deep learning-based glaucoma detection with large language models (LLMs) presen...

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

Jun 2025 40442044
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

Multimodal large language models (MLLMs) have achieved strong performance on vision-language tasks...

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images

While multimodal large language models excel at various tasks, they still suffer from hallucinatio...

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs

The rapid advancement of image generation technologies intensifies the demand for interpretable an...

Mitigating Object Hallucination via Robust Local Perception Search

Recent advancements in Multimodal Large Language Models (MLLMs) have enabled them to effectively i...

\textit{QuantMCP}: Grounding Large Language Models in Verifiable Financial Reality

Large Language Models (LLMs) hold immense promise for revolutionizing financial analysis and decis...

AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization

Recent research on generative models has primarily focused on creating product-ready visual output...

Precise Information Control in Long-Form Text Generation

A central challenge in modern language models (LMs) is intrinsic hallucination: the generation of ...

On Quantum Random Walks in Biomolecular Networks

Biomolecular networks, such as protein-protein interactions, gene-gene associations, and cell-cell...

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models

Event Causality Identification (ECI) aims to detect causal relationships between events in textual...

High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning

Large Language Models (LLMs) currently respond to every prompt. However, they can produce incorrec...

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization

Large Visual Language Models (LVLMs) have demonstrated impressive capabilities across multiple tas...

Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine

Computed tomography (CT) is a major medical imaging modality. Clinical CT scenarios, such as low-d...

Aligning VLM Assistants with Personalized Situated Cognition

Vision-language models (VLMs) aligned with general human objectives, such as being harmless and ha...

A case study on generative artificial intelligence to extract the fundamental sleep parameters from polysomnography notes.

UNLABELLED: Generative artificial intelligence utilizing transformer technology is widely seen as a ...

Jun 2025 40012317
Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization

Hallucinations in large language models (LLMs) during summarization of patient-clinician dialogues...

Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning

Recent work has shown that eliciting Large Language Models (LLMs) to generate reasoning traces in ...

Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs

Large language models (LLMs) exhibit extensive medical knowledge but are prone to hallucinations a...

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