In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …

Background Biological age is a measure of health that offers insights into ageing. The
existing age clocks, although valuable, often trade off accuracy and interpretability. We …

XAI is a rapidly progressing field of machine learning, aiming to unravel the predictions of
complex models. XAI is especially required in sensitive applications, eg in health care, when …

Stroke is the leading cause of adult disability among all prevalent pathologies around the
world. To improve post-stroke patients' active daily life and living quality, revealing the …

Accurate and real-time assessment of occupant thermal comfort can provide a solid
foundation for efficient air conditioning operations. Existing studies already show the …

The development of reliable mortality risk stratification models is an active research area in
computational healthcare. Mortality risk stratification provides a standard to assist physicians …

Identifying the impact of pollutants on diseases is crucial. However, assessing the health
risks posed by the interplay of multiple pollutants is challenging. This study introduces the …

Objective The objective of this study was to evaluate the association between serum
albumin levels and microcirculation changes, glycocalyx degradation, and the clinical …

The aim of this study was to investigate whether age at introduction of solid foods in preterm
infants influences growth in the first year of life. This was a prospective observational study …