Digital technologies change the healthcare environment, with several studies suggesting
barriers and facilitators to using digital interventions by healthcare professionals (HPs). We …

Background Modern clinical care in intensive care units is full of rich data, and machine
learning has great potential to support clinical decision-making. The development of …

In response to mounting evidence that use of electronic medical record systems may cause
unintended consequences, and even patient harm, the AMIA Board of Directors convened a …

: Background: the COVID-19 outbreak has created a great challenge for the healthcare
system worldwide. One of the most critical points of this challenge is the management of …

Objectives As laboratory medicine continues to undergo digitalization and automation,
clinical laboratorians will likely be confronted with the challenges associated with artificial …

Intrusion detection is an important part of networked-systems security protection. Although
commercial products exist, finding intrusions has proven to be a difficult task with limitations …

Methodologies have been developed to evaluate the heart rate (HR) chaotic dynamics,
differentiating normality of chronic and acute disease and the evolution between these …

Abstract Machine learning (ML) and artificial intelligence (AI) are widely used in many
different fields of modern medicine. This narrative review gives, in the first part, a brief …

Hospital-acquired anemia (HAA) is a prevalent condition that is independently associated
with worse clinical outcomes including prolongation of hospital stay and increased morbidity …

Healthcare expenses are increasing, as is the utilization of laboratory resources. Despite
this, between 20% and 40% of requested tests are deemed inappropriate. Improper use of …