Nursing

Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.

The study aimed to establish a machine learning-based scoring nomogram for early recognition of like...

Digital Subtraction Angiography Image Features under the Deep Learning Algorithm in Cardiovascular Interventional Treatment and Nursing for Vascular Restenosis.

The objective of this study was to explore the application value of digital subtraction angiography ...

Bringing biological ARDS phenotypes to the bedside with machine-learning-based classifiers.

Integrating artificial intelligence in bedside care for covid-19 and future pandemics.

examine the challenges in developing AI tools for use at point of care

Machine learning approaches for the prediction of postoperative complication risk in liver resection patients.

BACKGROUND: For liver cancer patients, the occurrence of postoperative complications increases the d...

A Novel Deep Learning-Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study.

BACKGROUND: Emergency department (ED) crowding has resulted in delayed patient treatment and has bec...

Application of AI and IoT in Clinical Medicine: Summary and Challenges.

The application of artificial intelligence (AI) technology in the medical field has experienced a lo...

Radiation Protection and Occupational Exposure on Ga-PSMA-11-Based Cerenkov Luminescence Imaging Procedures in Robot-Assisted Prostatectomy.

Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a ...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased du...

Can the Paro be my Buddy? Meaningful experiences from the perspectives of older adults.

This study aimed to explore meaningful experiences of older Taiwanese adults who had received a Paro...

Real-Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks.

Background Accurate detection of arrhythmic events in the intensive care units (ICU) is of paramount...

Untethered Microrobots for Active Drug Delivery: From Rational Design to Clinical Settings.

Recent advances of untethered microrobots, which navigate the complex regions in vivo for therapeuti...

Nursing Intervention Countermeasures of Robot-Assisted Laparoscopic Urological Surgery Complications.

The objective is to explore the application effect of comprehensive nursing intervention in preventi...

X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteri...

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

BACKGROUND: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-m...

Artificial Intelligence Assistive Technology in Hospital Professional Nursing Technology.

Global aging is becoming more and more serious, and the nursing problems of the elderly will become ...

Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System.

This study aims to design a set of the visual artificial intelligence system based on medical inform...

Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

Opportunities and Barriers to Rural Telerobotic Surgical Health Care in 2021: Report and Research Agenda from a Stakeholder Workshop.

There are well-recognized challenges to delivering specialty health care in rural settings. These c...

A Deep Learning-Based Text Classification of Adverse Nursing Events.

Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diag...