Nursing

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

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ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data.

This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that o...

Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students.

BACKGROUND: Populations are aging at an alarming rate in many countries around the world. There has ...

BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation.

Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients...

Machine learning for predicting long-term kidney allograft survival: a scoping review.

Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pa...

Three Different Learning Curves Have an Independent Impact on Perioperative Outcomes After Robotic Partial Nephrectomy: A Comparative Analysis.

BACKGROUND: Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different ...

Detection of peripherally inserted central catheter (PICC) in chest X-ray images: A multi-task deep learning model.

BACKGROUND AND OBJECTIVE: Peripherally inserted central catheter (PICC) is a novel drug delivery mod...

Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations.

Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. Howev...

Robotic Versus Open Ureteroneocystostomy: Is There a Robotic Benefit?

We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...

Non-Invasive Estimation of Intracranial Pressure by Diffuse Optics: A Proof-of-Concept Study.

Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. Howeve...

Artificial Intelligence and Robotics in Nursing: Ethics of Caring as a Guide to Dividing Tasks Between AI and Humans.

Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathet...

Agents and robots for collaborating and supporting physicians in healthcare scenarios.

Monitoring patients through robotics telehealth systems is an interesting scenario where patients' c...

Social Robotics, Education, and Religion in the Islamic World: An Iranian Perspective.

The social impact of robotics applied to domains such as education, religion, nursing, and therapy a...

A deep learning system for differential diagnosis of skin diseases.

Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are s...

OtoMatch: Content-based eardrum image retrieval using deep learning.

Acute infections of the middle ear are the most commonly treated childhood diseases. Because complic...

Prediction of Postoperative Length of Hospital Stay Based on Differences in Nursing Narratives in Elderly Patients with Epithelial Ovarian Cancer.

OBJECTIVES:  The current study sought to evaluate whether nursing narratives can be used to predict ...

Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department.

Emergency and trauma radiologists, emergency department's physicians and nurses, researchers, depart...

Deep learning prediction of falls among nursing home residents with Alzheimer's disease.

AIM: This study aimed to use a convolutional neural network (CNN) to investigate the associations be...

The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

OBJECTIVES: Patients in oncological and palliative care (PC) often have complex needs, which require...

Where medical education meets artificial intelligence: 'Does technology care?'.

'COLD' TECHNOLOGIES AND 'WARM' HANDS-ON MEDICINE NEED TO WALK HAND-IN-HAND: Technologies, such as de...

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