Nursing

Latest AI and machine learning research in nursing for healthcare professionals.

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Determinants of implementing of pet robots in nursing homes for dementia care.

BACKGROUND: Pet robots have been employed as viable substitutes to pet therapy in nursing homes. Des...

Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health "Integration of Physical, Medical, and Nursing Care".

With the development of my country's economy and society and the improvement of civilization, the si...

Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty.

OBJECTIVE: To develop a deep learning-assisted recovery and nursing system after total hip arthropla...

Providing physical relief for nurses by collaborative robotics.

Manual patient handling is one of the most significant challenges leading to musculoskeletal burden ...

Artificial intelligence and robot nurses: From nurse managers' perspective: A descriptive cross-sectional study.

AIM: This research was planned to identify nurse managers' opinions on artificial intelligence and r...

Bench to bedside: The ambitious goal of transducing medicinal chemistry from the lab to the clinic.

This paper deals with a critical examination on the possibility of quantitatively predicting the in ...

Construction and Implementation of Procedural Nursing System for General Surgery Laparoscopic Surgery Based on Deep Learning.

In order to explore the construction and implementation effect of a procedural nursing system for la...

Deep Learning-Based Ultrasound Combined with Gastroscope for the Diagnosis and Nursing of Upper Gastrointestinal Submucous Lesions.

The study focused on the diagnostic value of deep learning-based ultrasound combined with gastroscop...

Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.

Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and ...

Stereotactic Neurosurgical Robotics With Real-Time Patient Tracking: A Cadaveric Study.

BACKGROUND: Robotic neurosurgery may improve the accuracy, speed, and availability of stereotactic p...

Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.

The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development a...

AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

BACKGROUND: Medical decision-making impacts both individual and public health. Clinical scores are c...

Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention.

With the development of artificial intelligence technology in the medical field, clinical trials usi...

Effect Evaluation of Electronic Health PDCA Nursing in Treatment of Childhood Asthma with Artificial Intelligence.

Asthma in children has a long duration and is prone to recurring attacks. Children will feel chest t...

The Impact of Postoperative Renal Function Recovery after Laparoscopic and Robot-Assisted Partial Nephrectomy in Patients with Renal Cell Carcinoma.

Background and objectives: This study aimed to evaluate the association between warm ischemic time (...

Explaining spatial accessibility to high-quality nursing home care in the US using machine learning.

In this study we measure and map the system-wide spatial accessibility to good quality nursing home ...

Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.

The dataset presented in this paper presents a dataset related to three motionless activities, inclu...

Reduction of multiple-caregiver assistance through the long-term use of a transfer support robot in a nursing facility.

The long-term use of transfer support robots in nursing facilities is an important option for improv...

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