Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Medical image segmentation commonly involves diverse tissue types and structures, including tasks su...
Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiati...
This viewpoint paper explores the pedagogical implications of artificial intelligence (AI) and AI-ba...
Multi-source unsupervised domain adaptation aims to transfer knowledge from multiple labeled source ...
Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Ac...
Medical image classification plays a pivotal role within the field of medicine. Existing models pred...
Deep learning-based methods have been widely used in medical image segmentation recently. However, e...
Artificial intelligence (AI) is poised to revolutionize how science, and biomedical research in part...
Deep convolutional neural networks have made significant strides in the field of medical image segme...
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligen...
Few-shot Event Detection (FSED) aims to identify novel event types in new domains with very limited ...
BACKGROUND: The healthcare sector demands a higher degree of responsibility, trustworthiness, and ac...
Convolution operation is performed within a local window of the input image. Therefore, convolutiona...
The medical history underscores the significance of ethics in each advancement, with bioethics playi...
The communication gap between patients and health care professionals has led to increased disputes a...
BACKGROUND: Electronic health records (EHRs) contain valuable information for clinical research; how...
Lung nodules are generated based on the growth of small and round- or oval-shaped cells in the lung,...
Medical image segmentation algorithms based on deep learning have achieved good segmentation results...
At the end of 2022, the European Commission published a proposal for a directive to revise the stric...
This paper delves into the intricacies of synthetic data, emphasizing its growing significance in th...
No-boundary thinking enables the scientific community to reflect in a thoughtful manner and discover...