Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the
potential to revolutionise clinical nutrition. AI can assist in analysing complex data …

Over the past decade, there has been a dramatic rise in the interest relating to the
application of artificial intelligence (AI) in radiology. Originally only 'narrow'AI tasks were …

Intensive use of artificial intelligence and digital technologies is becoming an integral part of
our everyday life. Artificial intelligence algorithms are effectively used to diagnose diseases …

Background In recent epochs, the field of critical medicine has experienced significant
advancements due to the integration of artificial intelligence (AI). Specifically, AI robots have …

Artificial intelligence (AI) and its recent increasing healthcare integration has created both
new opportunities and challenges in the practice of radiology and medical imaging. Recent …

In academia, it is rare for an event or issue to foster the extensive participation of multiple
disciplines. Research related to COVID-19 has undeniably yielded a wealth of valuable …

Background Abdominoplasty is a common operation, used for a range of cosmetic and
functional issues, often in the context of divarication of recti, significant weight loss, and after …

The AI Act adopts a risk-based regulatory framework, categorizing AI systems according to
the level of risk they present and imposing corresponding regulatory requirements. While the …

Assisted reproduction techniques (ARTs) have given rise to novel, non-traditional family
models. Still, among the various applications and approaches of 'medically assisted …