Latest AI and machine learning research in refractive surgery for healthcare professionals.
Background: Post-operative tachycardia is a common and poorly understood complication following the ...
The concept of embodied sensorimotor decision-making proposes that processes implicated in evaluatin...
Postoperative complications remain a critical concern in clinical practice, adversely affecting pati...
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 ...
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...
We conduct an extensive study on the state of calibration under real-world dataset shift for image...
Brain tumor resection is a complex procedure with significant implications for patient survival an...
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...
The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...
Introduction: Deep learning (DL) models can help detect intracranial aneurysms on CTA, but high fa...
Ramadan fasting is a sacred ritual observed by approximately 1.8 billion Muslims each year, most of ...
Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...
The aesthetic appearance of the mouth during smiling significantly influences facial attractiveness,...
Vision-language-action (VLA) models extend vision-language models (VLM) by integrating action gene...
Navigating everyday social situations often requires juggling conflicting goals, such as conveying...
$\textbf{Objective:}$ Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflec...
Deep learning-based myocardial scar segmentation from late gadolinium enhancement (LGE) cardiac MR...