Latest AI and machine learning research in schizophrenia for healthcare professionals.
BACKGROUND AND HYPOTHESIS: Schizophrenia (SZ) is characterized by significant cognitive and behavior...
Despite their success, Large Vision-Language Models (LVLMs) remain vulnerable to hallucinations. W...
Despite their remarkable potential, Large Vision-Language Models (LVLMs) still face challenges wit...
Object detection systems must reliably perceive objects of interest without being overly confident...
Chinese calligraphy, a UNESCO Heritage, remains computationally challenging due to visual ambiguit...
Vision-Language Models (VLMs) have advanced multi-modal tasks like image captioning, visual questi...
Vision-language models (VLMs) have achieved remarkable advancements, capitalizing on the impressiv...
Large Vision Language Models (LVLMs) are becoming increasingly important in the medical domain, ye...
Background:Speech patterns have emerged as potential diagnostic markers for conditions with varyin...
Hallucinations are spurious structures not present in the ground truth, posing a critical challeng...
In the dynamic landscape of artificial intelligence, the exploration of hallucinations within visi...
Large Language Models (LLMs) excel in language comprehension and generation but are prone to hallu...
The increasing use of vision-language models (VLMs) in healthcare applications presents great chal...
Large vision-language models show tremendous potential in understanding visual information through...
Advancements in Large Vision-Language Models (LVLMs) have demonstrated promising performance in a ...
In this study, we investigate the feasibility of using a human-centered artificial intelligence (A...
Foundation Models that are capable of processing and generating multi-modal data have transformed ...
Capturing subtle speech disruptions across the psychosis spectrum is challenging because of the in...
Large Vision-Language Models (LVLMs) integrate image encoders with Large Language Models (LLMs) to...
Vision-Language Models (VLMs) occasionally generate outputs that contradict input images, constrai...
Large Language Models (LLMs) are prone to hallucinations, e.g., factually incorrect information, i...