Latest AI and machine learning research in schizophrenia for healthcare professionals.
Rapid behavioral adaptation requires the brain to solve a fundamental computational dilemma: how to ...
We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimod...
Multimodal large language models (MLLMs) struggle with hallucinations, particularly with fine-graine...
Vision-Language Models (VLMs) offer significant potential in computational pathology by enabling int...
Large vision-language models (LVLMs) have become increasingly strong but remain prone to hallucinati...
Objective. We establish a principled method for inferring mental health related psychometric variabl...
Scanning Probe Microscopy or SPM offers nanoscale resolution but is frequently marred by structured ...
Hallucination detection in captions (HalDec) assesses a vision-language model's ability to correctly...
Twelve-lead electrocardiography (ECG) is essential for cardiovascular diagnosis, but its long-term a...
Vision-Language Models (VLMs) frequently "hallucinate" - generate plausible yet factually incorrect ...
Current training-free methods tackle MLLM hallucination with separate strategies: either enhancing v...
While large vision-language models (LVLMs) achieve strong performance on multimodal tasks, they freq...
Maintaining background consistency while enhancing foreground quality remains a core challenge in vi...
Quantitative systems pharmacology (QSP) models require calibration data from published literature, y...
With the rapid advancement of AIGC technology, developing identification methods to address the secu...
Accurate tumor analysis is central to clinical radiology and precision oncology, where early detecti...
Generative real-world image super-resolution (Real-ISR) can synthesize visually convincing details f...
Digital subtraction angiography (DSA) is a key imaging technique for the auxiliary diagnosis and tre...
Hallucination has been a significant impediment to the development and application of current Large ...
Deep learning (DL) methods are currently being explored to restore images from sparse-view-, limited...
Animals integrate information over time and maintain persistent internal representations of cues to ...