Latest AI and machine learning research in head trauma for healthcare professionals.
Code translation migrates codebases across programming languages. Recently, large language models ...
The size of a model has been a strong predictor of its quality, as well as its cost. As such, the ...
Ontologies are widely used in databases to standardize data, improving data quality, integration, an...
Recent advances in Text-to-Image (T2I) diffusion models have transformed image generation, enablin...
Effective training and debriefing are critical in high-stakes, mission-critical environments such ...
We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS...
Animatable 3D human reconstruction from a single image is a challenging problem due to the ambigui...
Our study focuses on isolating swallowing dynamics from interfering patient motion in videofluoros...
Head and neck squamous cell carcinoma (HNSCC) has one of the highest rates of recurrence cases amo...
Calculating percentage bone loss is a critical test for periodontal disease staging but is sometim...
Hyperspectral imaging is a powerful bioimaging tool which can uncover novel insights, thanks to it...
Extracting causal relationships from a medical case report is essential for comprehending the case...
The alignment of large language models with human values presents a critical challenge, particular...
Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radi...
Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows...
The precise identification of tree species is fundamental to forestry, conservation, and environme...
Thanks to advances in large language models, a new type of software agent, the artificial intellig...
We present LAM, an innovative Large Avatar Model for animatable Gaussian head reconstruction from ...
Magnetic resonance imaging (MRI) is a potent diagnostic tool for detecting pathological tissues in...
Mental health remains a challenging problem all over the world, with issues like depression, anxie...
One of the goals of Federated Learning (FL) is to collaboratively train a global model using local...