Background: Wearable sensors are increasingly being explored in health care, including in
cancer care, for their potential in continuously monitoring patients. Despite their growing …

Simple Summary To investigate the adoption of machine learning in palliative care research
and clinical practice, we systematically searched for published research papers on the topic …

This literature review indicates that AI tools can be used to support SPC clinicians in
decision-making and reduce manual workload, leading to potentially improved care and …

Background An accurate prediction of mortality in end-of-life care is crucial but presents
challenges. Existing prognostic tools demonstrate moderate performance in predicting …

Advances in digital health, systems biology, environmental monitoring, and artificial
intelligence (AI) continue to revolutionize health care, ushering a precision health future …

Background Artificial intelligence (AI) has been increasingly used in healthcare during the
last decade, and recent applications in oncology nursing have shown great potential in …

Simple Summary Palliative care is a vital aspect of healthcare that aims to improve the
quality of life for individuals battling life-threatening diseases, such as cancer. Our research …

Aim To develop deep learning models to predict nursing need proxies among hospitalised
patients and compare their predictive efficacy to that of a traditional regression model …

Background: Smartphones and wearable devices have become a part and parcel of the
healthcare industry. The use of wearable technology has already proved its potentials in …

Objective: This study explores a semi-supervised learning (SSL), pseudo-labeled strategy
using diverse datasets to enhance lung cancer (LCa) survival predictions, analyzing …