AIMC Topic: Nursing Process
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Artificial intelligence in nursing practice - A Delphi study with ChatGPT.
Applied nursing research : ANR
Nov 12, 2024
BACKGROUND: The release of the open-source platform ChatGPT in November 2022 created massive interest in the possibilities of artificial intelligence-based chatbots. However, there is little knowledge about how artificial intelligence could be used i...
Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.
Journal of healthcare engineering
Apr 18, 2022
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and spinal cord disorders. These operations are difficult and risky, so disability and mortality are high. To reduce the risk of surgery, reduce postopera...
Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.
Computational and mathematical methods in medicine
Mar 10, 2022
This study was aimed at exploring the effect of ultrasound image evaluation of comprehensive nursing scheme based on artificial intelligence algorithms on patients with diabetic kidney disease (DKD). 44 patients diagnosed with DKD were randomly divid...
Utilization of Nursing Defect Management Evaluation and Deep Learning in Nursing Process Reengineering Optimization.
Computational and mathematical methods in medicine
Nov 15, 2021
It was to explore the application of nursing defect management evaluation and deep learning in nursing process reengineering optimization. This study first selects the root cause analysis method to analyse the nursing defect management, then realizes...
The use of robots and other automated devices in nurses' work: An integrative review.
International journal of nursing practice
May 8, 2019
BACKGROUND: Future nursing shortages and advanced technological developments mean that robots and automated devices could play a valuable role in nursing, but little has been published on their use, and outcomes, to date.
N!CA: Towards Digitalisation of Innovative Care Processes to Unburden and Empower Nurses.
Studies in health technology and informatics
May 15, 2025
Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases, multimorbidity and other health-related issues. Austrian nurses have a low job satisfaction and overall retention time in their job, due to high wor...
NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding.
Computers, informatics, nursing : CIN
Nov 1, 2019
This study develops and evaluates an open-source software (called NimbleMiner) that allows clinicians to interact with word embedding models with a goal of creating lexicons of similar terms. As a case study, the system was used to identify similar t...
Machine Learning in Health Care.
Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses
Oct 1, 2017
Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.
Journal of nursing measurement
Dec 1, 2016
BACKGROUND AND PURPOSE: One method of determining nurse staffing is to match patient demand for nursing care (patient acuity) with available nursing staff. This pilot study explored the feasibility of automating acuity measurement using a machine lea...
Identifying Outliers in Data from Patient Record.
Studies in health technology and informatics
Jan 1, 2016
It is important for health services to be able to identify potential outliers with minimal effort as part of their daily evaluation of care data from patient record. This study evaluates the suitability of three statistical methods for identifying nu...
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