Latest AI and machine learning research in nursing for healthcare professionals.
Machine learning, a branch of artificial intelligence, is increasingly used in health research, including nursing and maternal outcomes research. Machine learning algorithms are complex and involve statistics and terminology that are not common in health research. The purpose of this methods paper is to describe three machine learning algorithms in detail and provide an example of their use in mat...
Early identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already...
For effective patient therapy and improved patient safety, it is critical to administer medication accurately in accordance with doctor's prescription...
Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely...
Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-training protocol in robotic gynecologic surgery, wi...
PURPOSE: To examine how robot-enabled focus on professional task engagement and robot-reduced nonprofessional task engagement are related to nurses' p...
PURPOSE: RobotReviewer is a machine learning system for semi-automated assistance in risk of bias assessment. The tools's performance in randomized co...
BACKGROUND: Due to the rapid advancements in precision medicine and artificial intelligence, interdisciplinary collaborations between nursing and engi...
Falls are a leading cause of unintentional injuries and can result in devastating disabilities and fatalities when left undetected and not treated in ...
Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal continuity of care after an ED visit. Thus, devel...
Despite increasing interest in how artificial intelligence (AI) can augment and improve healthcare delivery, the development of new AI models continue...
BACKGROUND: Passive leg raising (PLR) predicts fluid responsiveness in critical illness, although restrictions in mobilising patients often preclude t...
The Indian health care system lacks the infrastructure to meet the health care demands of the country. Physician and nurse availability is 30 and 50% ...
This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In ad...
To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (...
BACKGROUND: Nurses often document patient symptoms in narrative notes.
BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses-the l...
BACKGROUND: A powerful risk model allows clinicians, at the bedside, to ensure the early identification of and decision-making for patients showing si...