The integration of artificial intelligence (AI) into healthcare promises groundbreaking
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …

Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral
components of modern healthcare, offering new avenues for diagnosis, treatment, and …

In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

Abstract In an industry 4.0 era, manufacturers must make the right decisions concerning
reutilizing and recycling returned goods to lower waste by connecting and integrating …

Background: Decompression of the lumbar spine is one of the most common procedures
performed in spine surgery. Hospital length of stay (LOS) is a clinically relevant metric used …

The high dimensionality and sparsity of the microarray gene expression data make it
challenging to analyze and screen the optimal subset of genes as predictors of breast …

The early diagnosis and personalised treatment of diseases are facilitated by machine
learning. The quality of data has an impact on diagnosis because medical data are usually …

A number of cross-sectional epidemiological studies suggest that poor oral health is
associated with respiratory diseases. However, the number of cases within the studies was …

Spine tumors represent a significant social and medical problem, affecting the quality of life
of thousands of patients and imposing a burden on healthcare systems worldwide …

Plenteous research has been undertaken on the direct effects of artificial intelligence (AI) on
smart decision-making. However, little attention has been paid to contextual factors such as …