Alzheimer's disease (AD) is the most common cause of dementia, marked by cognitive
decline and memory loss. Recently, machine learning and deep learning techniques have …

Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …

In recent years, multimodal large language models (MLLMs) have significantly advanced,
integrating more modalities into diverse applications. However, the lack of explainability …

This innovative study addresses the prevalent issue of sports injuries, particularly focusing
on ankle injuries, utilizing advanced analytical tools such as artificial intelligence (AI) and …

This paper investigates the impact of personalized AI communication on clinical outcomes in
breast cancer diagnosis. Our study examines how different AI communication styles …

As artificial intelligence (AI) systems become increasingly integrated into critical decision-
making processes, the need for transparent and interpretable models has become …

Background: Breast cancer is one of the leading causes of death in women, making early
detection through mammography crucial for improving survival rates. However, human …

Heart failure (HF) is prevalent globally. It is a dynamic disease with varying definitions and
classifications due to multiple pathophysiologies and etiologies. The diagnosis, clinical …

This critical review looks at the assessment of the application of artificial intelligence in
handling legal documents with specific reference to medical negligence cases with a view of …

Artificial intelligence (AI) and machine learning (ML) are essential in drug design. AI and ML
offer data‐based and computer‐aided methods for discovering, designing, optimizing, and …