Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

Abstract Background Artificial Intelligence (AI) is a transformative force in clinical decision
support (CDS) systems within healthcare. Its emergence, fuelled by the growing volume and …

The rapid progress in artificial intelligence, machine learning, and natural language
processing has led to increasingly sophisticated large language models (LLMs) for use in …

Rare and complex diseases pose significant challenges to both patients and healthcare
providers. These conditions often present with atypical symptoms, making diagnosis and …

Introduction Diabetes, a major cause of premature mortality, affects millions globally, with its
prevalence increasing due to lifestyle factors and aging populations. This systematic review …

Simple Summary This research explores how virtual worlds like the Metaverse can improve
breast cancer (BC) diagnosis and treatment. The authors aim to show how these virtual …

Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing health
care by offering unprecedented opportunities to enhance patient care, optimize clinical …

Alzheimer's disease (AD) presents a significant challenge in neurodegenerative research
and clinical practice due to its complex etiology and progressive nature. The integration of …

Background With the advent of artificial intelligence (AI) in healthcare, digital platforms like
ChatGPT offer innovative alternatives to traditional medical consultations. This study seeks …

We developed an interpretable machine learning algorithm that prospectively predicts the
risk of thrombocytopenia in older critically ill patients during their stay in the intensive care …