Latest AI and machine learning research in refractive surgery for healthcare professionals.
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...
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...
The rapid advancement of transformer-based language models has catalyzed breakthroughs in biomedic...
Bacterial infections have been demonstrated to cause the premature failure of implants. A reliable s...
Most post-disaster damage classifiers succeed only when destructive forces leave clear spectral or...
This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and pr...
According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...
Large language models are typically trained on datasets collected from the web, which may inadvert...
Understanding the physical world - governed by laws of motion, spatial relations, and causality - ...
Optimal surgical methods require accurate prediction of extraction difficulty and complications. Alt...
Unified multimodal large language models such as Show-o and Janus have achieved strong performance...
As AI systems increasingly navigate applications in healthcare, law, and governance, understanding...
We present a memory-efficient algorithm for significantly enhancing the quality of segmented 3D mi...
The incidence of hypotension after a lumbosacral epidural in dogs depends on the volume of local ana...
Continual post-training adapts a single text-to-image diffusion model to learn new tasks without i...
Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...
The human brain is a dynamic system that is constantly learning. It employs a combination of various...
Explainable AI (XAI) methods generally fall into two categories. Post-hoc approaches generate expl...