There is a large proliferation of complex data-driven artificial intelligence (AI) applications in
many aspects of our daily lives, but their implementation in healthcare is still limited. This …

Implementation of artificial intelligence systems for healthcare is challenging. Understanding
the barriers and implementation strategies can impact their adoption and allows for better …

This paper presents an in-depth study and exploration of the health IoT architecture and
related implementation technologies from both theoretical and practical aspects, with …

According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

We performed a systematic review and meta‐analysis to identify, classify and evaluate the
body of evidence on novel wearable and contactless devices that measure heart rate …

Temperature is the most commonly collected vital sign in all of clinical medicine; it plays a
critical role in care decisions related to topics ranging from infection to inflammation, sleep …

Background There is a growing enthusiasm for machine learning (ML) among academics
and health care practitioners. Despite the transformative potential of ML-based applications …

Background Globally, healthcare systems have always contended with well-known and
seemingly intractable challenges like safety, quality, efficient and effective clinical and …

Background With the development and promotion of wearable devices and their mobile
health (mHealth) apps, physiological signals have become a research hotspot. However …

Early detection and evaluation of children at risk of neurodevelopmental disorders and/or
communication deficits is critical. While the current literature indicates a high prevalence of …