Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Heart failure (HF) is a prevalent cause of hospital readmissions. Our study aims to dete...
Assessing multi-hazard susceptibility and understanding community insights are important for effecti...
Soil contamination with heavy metals (HMs) presents critical environmental and public health risks d...
Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in phys...
This paper studies the influence of behavioral biases on Fintech adoption. Additionally, the role of...
BACKGROUND AND AIMS: Osteosarcoma (OS) is the most common primary bone malignancy, and neoadjuvant c...
The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...
The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...
This paper comprehensively surveys research trends in imitation learning for contact-rich robotic ...
Recent advancements in diffusion-based text-to-image (T2I) models have enabled the generation of h...
During prediction tasks, models can use any signal they receive to come up with the final answer -...
Modern language models are trained on large amounts of data. These data inevitably include controv...
We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photor...
The rapid adoption of generative AI models in domains such as education, policing, and social medi...
Metaphors are pervasive in communication, making them crucial for natural language processing (NLP...
To build fair AI systems we need to understand how social-group biases intrinsic to foundational e...
Diagnosing deep neural networks (DNNs) through the eigenspectrum of weight matrices has been an ac...
Segmentation of lung gross tumour volumes is an important first step in radiotherapy and surgical ...
As one of the first research teams with full access to Siemens' Cinematic Reality, we evaluate its...
Mutual exclusivity (ME) is a strategy where a novel word is associated with a novel object rather ...
DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showca...