Background: Long-term care (LTC) homes face the challenges of increasing care needs of
residents and a shortage of health care providers. Literature suggests that artificial …

Introduction The use of artificial intelligence (AI), which can emulate human intelligence and
enhance clinical results, has grown in healthcare decision-making due to the digitalization …

Researchers are studying how artificial intelligence (AI) can be used to better detect,
prognosticate and subgroup diseases. The idea that AI might advance medicine's …

Introduction Artificial intelligence–driven decision support systems (AI–DSS) have the
potential to help physicians analyze data and facilitate the search for a correct diagnosis or …

Background: In today's digital age, web-based apps have become integral to daily life,
driving transformative shifts in human behavior.“AgileNudge+”(Indiana University Center for …

Introduction The advent of generative artificial intelligence (AI) dialogue platforms and large
language models (LLMs) may help facilitate ongoing efforts to improve health literacy …

The spread of machine learning models, coupled with by the growing adoption of electronic
health records (EHRs), has opened the door for developing clinical decision support …

Background Precision health is a burgeoning scientific discipline that aims to incorporate
individual variability in biological, behavioral, and social factors to develop personalized …

Biases in Artificial Intelligence (AI) systems or their results are one important issue that
demands AI explainability. Despite the prevalence of AI applications, the general public are …

This chapter proposes several tools based on Artificial Intelligence (AI) and Augmented
Reality (AR) to promote the transmission of knowledge in the educational context. AI is …