Latest AI and machine learning research in head trauma for healthcare professionals.
Deep learning has achieved remarkable success in image recognition, yet their inherent opacity poses...
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexist...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...
Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...
OBJECTIVE: To assess the clinical value of the deep learning image reconstruction (DLIR) algorithm c...
We investigate the feasibility of inferring emotional states exclusively from physiological signal...
We conduct an extensive study on the state of calibration under real-world dataset shift for image...
Digital orthodontics represents a prominent and critical application of computer vision technology...
Recent advancements in generative methods, especially diffusion models, have made great progress i...
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high fa...
Background: Contrast-induced nephropathy (CIN) is a serious complication following acute coronary sy...
Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...
Synaptic plasticity is a neuron's intrinsic ability to make new connections throughout life. The mor...
Accurately and efficiently estimating the cortical thickness from magnetic resonance images (MRIs) i...
Vision-language-action (VLA) models extend vision-language models (VLM) by integrating action gene...
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) presents a significant ch...
As machine learning systems increasingly rely on data subject to privacy regulation, selectively u...
Mixture-of-Experts (MoE) models have emerged as a cornerstone of large-scale deep learning by effi...
Multi-session persona-based dialogue generation presents challenges in maintaining long-term consi...