Latest AI and machine learning research in nursing for healthcare professionals.
AIMS: To develop a deep learning model for pressure injury stages classification based on real-world photographs and compare its performance with that of clinical nurses to seek the opportunity of its application in clinical settings.
This paper presents a deep learning-based wound classification tool that can assist medical personnel in non-wound care specialization to classify five key wound conditions, namely deep wound, infected wound, arterial wound, venous wound, and pressure wound, given color images captured using readily available cameras. The accuracy of the classification is vital for appropriate wound management. Th...
The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuou...
This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive t...
The ambivalence of the professional identity of the State Certified Operating Room Nurse (SCNO) is due to the difficulty of building a non-surgical te...
OBJECTIVES: To evaluate the accuracy of a bedside, real-time deployment of a deep learning (DL) model capable of distinguishing between normal (A line...
OBJECTIVE: The purpose of this study was to use a deep learning model and a traditional statistical regression model to predict the long-term care ins...
Although Germany continues to struggle with the digital transformation of healthcare, there is reason for optimism. The political will to improve heal...
BACKGROUND: Robots are introduced into health care contexts to assist health care professionals. However, we do not know how the benefits and maintena...
BACKGROUND: The introduction of nursing care-support devices using robotic technology is expected to reduce the task burden in long-term care faciliti...
PURPOSE: To analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field o...
In recent years, data have become the main driver of medical innovation. With increased availability and decreased price of storage and computing powe...
While robotic procedures are growing rapidly, medical students have a limited role in robotic surgeries. Curricula are needed to enhance engagement. W...
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of the most frequently ordered imaging studies worldw...
User-oriented needs assessment of the potential use of assistive robots in direct nursing care: A mixed methods study So far, hardly any robots have...
To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of dying within 7Â days after basal ganglia hemorrhag...