A systematic review of the application of artificial intelligence in nursing care: where are we, and what's next?
S Ruksakulpiwat, S Thorngthip… - Journal of …, 2024 - Taylor & Francis
Background Integrating Artificial Intelligence (AI) into healthcare has transformed the
landscape of patient care and healthcare delivery. Despite this, there remains a notable gap …
landscape of patient care and healthcare delivery. Despite this, there remains a notable gap …
Limitations in evaluating machine learning models for imbalanced binary outcome classification in spine surgery: a systematic review
Clinical prediction models for spine surgery applications are on the rise, with an increasing
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
Machine learning for the orthopaedic surgeon: uses and limitations
Machine Learning for the Orthopaedic Surgeon: Uses and Limit... : JBJS Machine Learning for
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …
Sentiment of nurses towards artificial intelligence and resistance to change in healthcare organisations: A mixed‐method study
Background Research identified preliminary evidence that artificial intelligence (AI) has
emerged as a transformative force in healthcare, revolutionising various aspects of …
emerged as a transformative force in healthcare, revolutionising various aspects of …
Prediction of suitable outpatient candidates following revision total knee arthroplasty using machine learning
T Yeramosu, W Ahmad, J Satpathy, JM Farrar… - Bone & Joint …, 2023 - boneandjoint.org.uk
Aims To identify variables independently associated with same-day discharge (SDD) of
patients following revision total knee arthroplasty (rTKA) and to develop machine learning …
patients following revision total knee arthroplasty (rTKA) and to develop machine learning …
Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances
Artificial intelligence (AI) is transforming spinal imaging and patient care through automated
analysis and enhanced decision-making. This review presents a clinical task-based …
analysis and enhanced decision-making. This review presents a clinical task-based …
Risk stratification of patients undergoing outpatient lumbar decompression surgery
BACKGROUND CONTEXT Reimbursement has slowly transitioned from a fee-for-service
model to a bundled payment model after introduction of the United States Centers for …
model to a bundled payment model after introduction of the United States Centers for …
Applications of machine learning in pediatric hydrocephalus: a systematic review
Objective: The aim of this systematic review is to analyze the utility as well as acknowledge
the achievements of AI/ML in HCP decision making. Methodology: PubMed and Cochrane …
the achievements of AI/ML in HCP decision making. Methodology: PubMed and Cochrane …
Prediction of overnight stay following shoulder arthroplasty utilizing machine learning
Background Total shoulder arthroplasty (TSA) has evolved from requiring extended inpatient
hospital stays to favoring same-day discharges, influenced by improved surgical techniques …
hospital stays to favoring same-day discharges, influenced by improved surgical techniques …
[HTML][HTML] The use of machine learning for predicting candidates for outpatient spine surgery: a review
IJ Wellington, OP Karsmarski, KV Murphy… - Journal of Spine …, 2023 - ncbi.nlm.nih.gov
While spine surgery has historically been performed in the inpatient setting, in recent years
there has been growing interest in performing certain cervical and lumbar spine procedures …
there has been growing interest in performing certain cervical and lumbar spine procedures …