[HTML][HTML] Application scenarios for artificial intelligence in nursing care: rapid review
K Seibert, D Domhoff, D Bruch, M Schulte-Althoff… - Journal of medical …, 2021 - jmir.org
Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …
decision-making in complex care situations or conducting tasks that are remote from direct …
Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review
OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Breast cancer histopathology image classification using an ensemble of deep learning models
Breast cancer is one of the major public health issues and is considered a leading cause of
cancer-related deaths among women worldwide. Its early diagnosis can effectively help in …
cancer-related deaths among women worldwide. Its early diagnosis can effectively help in …
MobileNet-SVM: A lightweight deep transfer learning model to diagnose BCH scans for IoMT-based imaging sensors
RO Ogundokun, S Misra, AO Akinrotimi, H Ogul - Sensors, 2023 - mdpi.com
Many individuals worldwide pass away as a result of inadequate procedures for prompt
illness identification and subsequent treatment. A valuable life can be saved or at least …
illness identification and subsequent treatment. A valuable life can be saved or at least …
Deep transfer learning-based visual classification of pressure injuries stages
Pressure injury follow-up and treatment is a very costly and significant health care problem
for many countries. Early and accurate diagnosis and treatment planning are critical for …
for many countries. Early and accurate diagnosis and treatment planning are critical for …
Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis
CW Chang, M Christian, DH Chang, F Lai, TJ Liu… - Plos one, 2022 - journals.plos.org
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence.
Patients who suffer from this disease may have difficulty accessing medical care. Recently …
Patients who suffer from this disease may have difficulty accessing medical care. Recently …
A survey of wound image analysis using deep learning: Classification, detection, and segmentation
R Zhang, D Tian, D Xu, W Qian, Y Yao - IEEE Access, 2022 - ieeexplore.ieee.org
Wounds not only harm the physical and mental health of patients, but also introduce huge
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
Exploring needs and challenges for AI in nursing care–results of an explorative sequential mixed methods study
Background and aim While artificial intelligence (AI) is being adapted for various life
domains and applications related to medicine and healthcare, the use of AI in nursing …
domains and applications related to medicine and healthcare, the use of AI in nursing …
Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence
C Anderson, Z Bekele, Y Qiu, D Tschannen… - BMC Medical Informatics …, 2021 - Springer
Background Hospital-acquired pressure injuries (PIs) induce significant patient suffering,
inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed …
inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed …
A systematic overview of recent methods for non-contact chronic wound analysis
D Marijanović, D Filko - Applied Sciences, 2020 - mdpi.com
Chronic wounds or wounds that are not healing properly are a worldwide health problem
that affect the global economy and population. Alongside with aging of the population …
that affect the global economy and population. Alongside with aging of the population …