The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

The infusion of generative artificial intelligence (AI), as exemplified by models such as
ChatGPT and Bard is proving to be a revolutionary catalyst within the building and …

Background The approaches based on vision transformers (ViTs) are advancing the field of
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …

Large language models (LLMs), such as ChatGPT, have demonstrated impressive
capabilities in various tasks and attracted an increasing interest as a natural language …

Nowadays, inspired by the great success of Transformers in Natural Language Processing,
many applications of Vision Transformers (ViTs) have been investigated in the field of …

Segmenting the median nerve is essential for identifying nerve entrapment syndromes,
guiding surgical planning and interventions, and furthering understanding of nerve anatomy …

Digital health and wearable technologies represent a transformative wave in healthcare,
blending medical advancements with innovative technology to enhance patient care …

Automated blood vessel segmentation is vital for biomedical imaging, as vessel changes
indicate many pathologies. Still, precise segmentation is difficult due to the complexity of …

Artificial intelligence (AI) is a rapidly evolving field with many neuro-oncology applications. In
this review, we discuss how AI can assist in brain tumour imaging, focusing on machine …

It is essential for modern healthcare systems to utilize the Internet of Things (IoT) devices
that facilitate and establish the infrastructure for smart hospitals and telehealth. The …