Latest AI and machine learning research in schizophrenia for healthcare professionals.
Studies on schizophrenia assessments using deep learning typically treat it as a classification ta...
Large vision-language models (LVLMs) remain vulnerable to hallucination, often generating content ...
Gaining insights into the structural and functional mechanisms of the brain has been a longstandin...
Clinical studies reveal disruptions in brain structural connectivity (SC) and functional connectiv...
Large language models (LLMs) have shown significant potential in scientific disciplines such as bi...
Large language models (LLMs) show human-level performance and their specialized descendants, code ...
Despite the impressive capabilities of Large Vision-Language Models (LVLMs), they remain susceptib...
The 180x360 omnidirectional field of view captured by 360-degree cameras enables their use in a wi...
The therapeutic working alliance is a critical predictor of psychotherapy success. Traditionally, wo...
Despite significant advancements in multimodal reasoning tasks, existing Large Vision-Language Mod...
Vision-Language Models (VLMs) are becoming increasingly popular in the medical domain, bridging th...
BACKGROUND: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which di...
BACKGROUND AND OBJECTIVE: Accurate detection of schizophrenia poses a grand challenge as a complex a...
BACKGROUND: Cognitive deficits are a central feature of schizophrenia for which there are not any es...
Retrieval-Augmented Generation (RAG) systems have gained widespread adoption by application builde...
Hallucinations in vision-language models (VLMs) hinder reliability and real-world applicability, u...
Zero-shot learning (ZSL) aims to recognize unseen classes by aligning images with intermediate cla...
Hallucinations in large language models (LLMs) present a growing challenge across real-world appli...
IMPORTANCE: The diagnosis of schizophrenia and bipolar disorder is often delayed several years despi...
Medical Large Multi-modal Models (LMMs) have demonstrated remarkable capabilities in medical data ...
Mental and cognitive representations are believed to reside on low-dimensional, non-linear manifol...