The increasing demand for orthopedic implants has driven the search for materials that
combine strength, biocompatibility, and long lifetime. Compared to stainless steel and Co-Cr …

Synthetic data consists of artificially generated data. When data are scarce, or of poor
quality, synthetic data can be used, for example, to improve the performance of machine …

Background Artificial intelligence (AI), particularly generative AI, has emerged as a
transformative tool in healthcare, with the potential to revolutionize clinical decision-making …

Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Visual microscopic study of diseased tissue by pathologists has been the cornerstone for
cancer diagnosis and prognostication for more than a century. Recently, deep learning …

Synthetic health data have the potential to mitigate privacy concerns in supporting
biomedical research and healthcare applications. Modern approaches for data generation …

Federated Learning (FL) is a promising distributed training model that aims to minimize the
data sharing to enhance privacy and performance. FL requires sufficient and diverse training …