Latest AI and machine learning research in medical education for healthcare professionals.
We present Nucleus-Image, a text-to-image generation model that establishes a new Pareto frontier in...
Letters of recommendation (LoRs) can carry patterns of implicitly gendered language that can inadver...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...
Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniof...
The integration of Large Language Models (LLMs) into clinical decision support is critically obstruc...
Fine-tuning pretrained image classifiers is standard practice, yet which individual samples are forg...
Flow-based image generative models exhibit stable training and produce high quality samples when usi...
Virtual Try-On (VTON) has seen rapid advancements, providing a strong foundation for generative fash...
Extending LLM context windows is hindered by scarce high-quality long-context data. Recent methods s...
Diffusion-based image generation models have advanced rapidly but pose a safety risk due to their po...
The advent of agentic multimodal models has empowered systems to actively interact with external env...
A key inefficiency in diffusion training occurs when a randomly initialized network, lacking visual ...
Developing optical systems for free-space applications requires simulation tools that accurately cap...
Large language models (LLMs) have demonstrated strong capabilities in medical question answering; ho...
Automated recognition of autistic behaviors in children is essential for early intervention and obje...
We introduce a nonnegative functional on the space of line arrangements in $\mathbb{P}^2$ that vanis...
Video frame interpolation aims to synthesize realistic intermediate frames between given endpoints w...
Existing visual grounding benchmarks primarily evaluate alignment between image regions and literal ...
Medical visual grounding serves as a crucial foundation for fine-grained multimodal reasoning and in...
Identification and quantification of myocardial scar is important for diagnosis and prognosis of car...
Acquiring labeled datasets for 3D human mesh estimation is challenging due to depth ambiguities and ...