Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Data privacy is a major concern in industries such as healthcare or finance. The requirement to sa...
The rise of chronic diseases and pandemics like COVID-19 has emphasized the need for effective pat...
The first partial boundary data complex geometrical optics based methods for electrical impedance ...
Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, ...
Medical image segmentation plays an important role in clinical decision making, treatment planning...
This paper introduces a hybrid learning framework that combines convolutional neural networks (CNN...
Spinal cord tumors significantly contribute to neurological morbidity and mortality. Precise morph...
Spatial transcriptomics (ST) has emerged as an advanced technology that provides spatial context t...
Adenoid hypertrophy stands as a common cause of obstructive sleep apnea-hypopnea syndrome in child...
With increasing concerns over privacy in healthcare, especially for sensitive medical data, this r...
Many NP-hard graph problems become easy for some classes of graphs, such as coloring is easy for b...
Combating money laundering has become increasingly complex with the rise of cybercrime and digital...
The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for...
This study introduces the development of a state of the art, real time ECG monitoring and analysis...
Density-equalizing map is a shape deformation technique originally developed for cartogram creatio...
Large Language Model (LLM) Agents are an emerging computing paradigm that blends generative machin...
Trusted hardware's freshness guarantee ensures that an adversary cannot replay an old value in res...
The U.S. Decennial Census serves as the foundation for many high-profile policy decision-making pr...
Our work tackles the challenge of securing user inputs in cloud-hosted large language model (LLM) ...
Advances in generative models have created Artificial Intelligence-Generated Images (AIGIs) nearly...
Numerical simulation is powerful to study nonlinear solid mechanics problems. However, mesh-based ...