Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …

Objective To provide a state of the art review of artificial intelligence (AI), including its
subfields of machine learning and natural language processing, as it applies to …

Importance Many clinical trial outcomes are documented in free-text electronic health
records (EHRs), making manual data collection costly and infeasible at scale. Natural …

Context Large multisite clinical trials studying decision-making when facing serious illness
require an efficient method for abstraction of advance care planning (ACP) documentation …

In the modern digital era, artificial intelligence technology, especially deep learning, offers
great potential to improve the quality of education in Islamic schools. This study aims to …

Background: Few studies have developed automatic systems for identifying social distress,
spiritual pain, and severe physical and phycological symptoms from text data in electronic …

Background: Studies show that early, integrated palliative care (PC) improves quality of life
(QoL) and end-of-life (EoL) care for patients with poor-prognosis cancers. However, the …

Background: Natural language processing has been increasingly used in palliative care
research over the last 5 years for its versatility and accuracy. Aim: To evaluate and …

PURPOSE Symptoms are vital outcomes for cancer clinical trials, observational research,
and population-level surveillance. Patient-reported outcomes (PROs) are valuable for …

Background: Developments in digital health have the potential to transform the delivery of
health and social care to help citizens manage their health. Currently, there is a lack of …