In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

This extensive literature review investigates the integration of Machine Learning (ML) into
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …

Breast cancer has rapidly increased in prevalence in recent years, making it one of the
leading causes of mortality worldwide. Among all cancers, it is by far the most common …

In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a
critical yet challenging task, primarily due to the complex nature of retinal images. The …

Artificial intelligence (AI) has emerged as a powerful tool in healthcare significantly
impacting practices from diagnostics to treatment delivery and patient management. This …

Location-based social media data provides a new perspective for understanding the
relationship between human behavior and urban environments. However, further research …

Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

In recent years, the convergence of cognitive computing and natural language processing
(NLP) has emerged as a critical field of study, promising significant breakthroughs in …

Abstract The Internet of Things (IoT) and smart technologies perform a vital role in gathering
data to facilitate extreme environments. These systems offer an autonomous management of …