Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

Integrating Artificial Intelligence (AI) in healthcare represents a transformative shift with
substantial potential for enhancing patient care. This paper critically examines this …

Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

We present MedShapeNet, a large collection of anatomical shapes (eg, bones, organs,
vessels) and 3D surgical instrument models. Prior to the deep learning era, the broad …

Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

In response to various privacy risks, researchers and practitioners have been exploring
different paradigms that can leverage the increased computational capabilities of consumer …

Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

This narrative review explores the transformative impact of Artificial Intelligence (AI) on
mental health nursing, particularly in enhancing psychiatric patient care. AI technologies …

Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to
transform medical and patient education. Leveraging GANs in medical fields, especially …

Artificial intelligence has made remarkable progress in handling complex tasks, thanks to
advances in hardware acceleration and machine learning algorithms. However, to acquire …