Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Medical image segmentation plays a crucial role in clinical diagnosis and treatment planning, wher...
A new numerical method is developed to approximate the solution of Laplace's equation in the exter...
As the deployment of large language models (LLMs) grows in sensitive domains, ensuring the integri...
With the advent of Industry 5.0, manufacturers are increasingly prioritizing worker well-being alo...
Foundation models are revolutionising pathology by leveraging large-scale, pretrained artificial int...
Privacy-preserving neural network training in vertically partitioned scenarios is vital for secure...
To achieve human-like haptic perception in anthropomorphic grippers, the compliant sensing surface...
Accurate segmentation of vascular structures in coronary angiography remains a core challenge in m...
The segmentation of coal maceral groups can be described as a semantic segmentation process of coa...
Recent advances in large language models (LLMs) and vision-language models (VLMs) have enabled pow...
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervis...
Computational inverse problems for biomedical simulators suffer from limited data and relatively h...
The heart, responsible for circulating blood throughout our body, contains four chambers. Existing a...
The integration of artificial intelligence in nursing practice presents significant ethical challeng...
Polyps, like a silent time bomb in the gut, are always lurking and can explode into deadly colorecta...
Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. Ho...
Few-Shot Medical Image Segmentation (FSMIS) has been widely used to train a model that can perform...
The automated generation of radiology reports from chest X-ray images holds significant promise in...
Occlusion Boundary Estimation (OBE) identifies boundaries arising from both inter-object occlusion...
RGB-D scene parsing methods effectively capture both semantic and geometric features of the enviro...
Vision-Language Models (VLMs) exhibit impressive performance, yet the integration of powerful visi...