Research graph
References from Enhancing Nursing Assessment Through Artificial Intelligence: Bridging Intuition and Innovation. Local targets link to admitted publications; unresolved targets remain external evidence.
Nursing and precision predictive analytics monitoring in the acute and intensive care setting: an emerging role for responding to COVID-19 and beyond
10.1016/j.ijnsa.2021.100019 · 2021 · External reference
Using nursing data for machine learning-based prediction modeling in intensive care units: a scoping review
10.1016/j.ijnurstu.2025.105133 · 2025 · External reference
Transforming neonatal care through informatics: a review of artificial intelligence, data, and implementation considerations
10.1016/j.semperi.2025.152144 · 2025 · External reference
Early prediction of clinical deterioration using data-driven machine-learning modeling of electronic health records
10.1016/j.jtcvs.2021.10.060 · 2022 · External reference
Data-driven decision making in patient management: a systematic review
10.1186/s12911-025-03072-x · 2025 · External reference
Current applications of artificial intelligence in the neonatal intensive care unit
10.3390/biomedinformatics4020067 · 2024 · External reference
Nursing insights on the effectiveness of automated pupillometry in two distinct pediatric intensive care units
10.1016/j.pedn.2024.07.032 · 2024 · External reference
Automated pupillometry predicts neurological deterioration in the neurosurgical ICU: a retrospective observational study with secondary analysis in traumatic brain injury
10.1097/md.0000000000046809 · 2025 · External reference
Slow and steady: optimizing ICU treatment weans for children with chronic critical illness
10.53391/2146-4618.1066 · 2026 · External reference
From the iron lung to artificial intelligence: integrating new technology into critical care
10.4037/ajcc2026154 · 2026 · External reference
Machine learning algorithms predict successful weaning from mechanical ventilation before intubation: retrospective analysis from the Medical Information Mart for Intensive Care IV DATABASE
10.2196/44763 · 2023 · External reference
Reducing failed extubations in preterm infants via standardization and real-time decision support
10.1542/peds.2023-062930 · 2024 · External reference
Artificial intelligence algorithm to predict the requirement of neonatal endotracheal intubation within 3 h: application for clinical practice
10.3389/fmed.2026.1729990 · 2026 · External reference
Development of a predictive model for neonatal hospital-acquired gastrointestinal infections utilizing multiple machine learning algorithms
10.2147/idr.s533904 · 2025 · External reference
Advances in artificial intelligence and machine learning for precision medicine in necrotizing enterocolitis and neonatal sepsis: a state-of-the-art review
10.3390/children12040498 · 2025 · External reference
Machine learning in pediatric healthcare: current trends, challenges, and future directions
10.3390/jcm14030807 · 2025 · External reference
Artificial intelligence for prediction and detection of pediatric surgical site infection
10.1016/j.sempedsurg.2025.151577 · 2026 · External reference
The role of artificial intelligence in pediatric intensive care: a systematic review
10.7759/cureus.80142 · 2025 · External reference
Utilization of technology in pediatric critical care: a systematic review of monitoring and support systems
10.62754/joe.v4i2.6722 · 2025 · External reference
Prediction of adverse events in single ventricle physiology infants using artificial intelligence tools
10.1097/cce.0000000000001381 · 2026 · External reference
Pediatric tele-critical care: initial experience with a continuous surveillance model aiming to prevent cardiac arrest in children with critical heart disease
10.1089/tmj.2024.0035 · 2024 · External reference
Artificial intelligence applications in intensive care unit nursing: a narrative review (2020-2025)
10.1177/20552076251406302 · 2025 · External reference
Artificial intelligence applications in healthcare: a systematic review of their impact on nursing practice and patient outcomes
10.1111/jnu.70040 · 2025 · External reference
Advancements in predictive analytics: machine learning approaches to estimating length of stay and mortality in sepsis
10.3390/computation13010008 · 2025 · External reference
Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit
10.1186/s44158-023-00125-3 · 2023 · External reference
Wearable biosensors for pediatric hospitals: a scoping review
10.1038/s41390-024-03693-4 · 2025 · External reference
From artificial intelligence to augmented intelligence: practical guidance for nurses
10.3912/ojin.vol26no03man04 · 2021 · External reference
