Latest AI and machine learning research in work force for healthcare professionals.
Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research...
Although Large Vision Language Models (LVLMs) have demonstrated remarkable performance in image un...
Our research addresses the critical challenge of managing blood transfusions and optimizing alloca...
Multi-session persona-based dialogue generation presents challenges in maintaining long-term consi...
In multimodal large language models (MLLMs), the length of input visual tokens is often significan...
Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in an...
Aegilops tauschii Coss., a progenitor of bread wheat, is an important wild genetic resource for bree...
Safe deployment of machine learning (ML) models in safety-critical domains such as medical imaging...
Recently, the rectified flow (RF) has emerged as the new state-of-the-art among flow-based diffusi...
Machine learning (ML) potentials have become a well-established tool for providing inexpensive, yet ...
The development of new adsorbents for water treatment often involves complex adsorption mechanisms, ...
Psychological counseling faces huge challenges due to the growing demand for mental health service...
Surveillance systems play a critical role in security and reconnaissance, but their performance is...
Fine-tuning Stable Diffusion enables subject-driven image synthesis by adapting the model to gener...
The rising prevalence of chronic wounds, especially in aging populations, presents a significant h...
Recent advances in text-to-image (T2I) models have achieved impressive quality and consistency. Ho...
Existing studies of innovation emphasize the power of social structures to shape innovation capaci...
Large Language Models (LLMs) have demonstrated substantial efficacy in advancing graph-structured ...
Computed tomography (CT) is a major medical imaging modality. Clinical CT scenarios, such as low-d...
Recently, Generative Adversarial Networks (GANs) have been successfully scaled to billion-scale la...
The recent progress of large language model agents has opened new possibilities for automating tas...