Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next
decade, creating a personal, industrial, and social shift towards the new technology. As a …

Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …

The aim of the study is to understand how humans' acceptance of Artificial Intelligences (AIs)
affects human resource management (HRM). To this end, we propose an original …

Artificial intelligence has the potential to transform many application domains fundamentally.
One notable example is clinical radiology. A growing number of decision-making support …

Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …

Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …

Utilizing IoT based on health services cannot be avoided, especially during a pandemic
requiring a screening process for a person's condition. It serves as an important tool for …

Background The digitization and automation of diagnostics and treatments promise to alter
the quality of health care and improve patient outcomes, whereas the undersupply of …

Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …