Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Mild cognitive impairment and early-stage dementia significantly impact healthcare utili...
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based c...
AIMS: This study aims of determine the mediating role of individual innovativeness in the effect of ...
OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...
Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. W...
BACKGROUND: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in comm...
BACKGROUND: High-stress environments, heavy workloads, and the emotional demands of patient care, wh...
BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a...
OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predicti...
To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...
Chronic wounds affect 8.5 million Americans, particularly the elderly and patients with diabetes. ...
BACKGROUND: Utilizing Artificial Intelligence (AI) in clinical settings may offer significant benefi...
The recent widespread adoption of drones for studying marine animals provides opportunities for de...
This work proposes a computer vision framework to automate the extraction of vital signs from bedsid...
Late-stage failures of monoclonal antibody (mAb) programs often reflect developability liabilities, ...
Assessing the degree and characteristics of consciousness is central to caring for patients with Dis...
Large language models (LLMs), such as GPT-4, are increasingly integrated into healthcare to support ...
This study evaluates the effectiveness of the Patient Report Template (PRT) in addressing inefficien...
Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired t...
The deployment of artificial intelligence (AI) in healthcare necessitates robust safety validation f...
Clinical and phenotypic data available to researchers are often found in spreadsheets or bespoke dat...