Nursing

Identifying barriers to resident robotic console time in a general surgery residency through a targeted needs assessment.

Robotic-assisted general surgery is experiencing exponential growth. Despite our institution's high ...

Complications after partial nephrectomy: robotics overcomes open surgery and laparoscopy: the PMSI French national database.

PURPOSE: To evaluate three partial nephrectomies (PN) procedures: open (OPN), standard laparoscopy (...

A Deep Learning-Based Automated Framework for Subpeak Designation on Intracranial Pressure Signals.

The intracranial pressure (ICP) signal, as monitored on patients in intensive care units, contains p...

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.

Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmon...

First human surgery using a surgical assistance robotics device for laparoscopic cholecystectomies.

BACKGROUND: Over the past 20 years, surgeons involved in soft tissue minimally invasive surgery have...

Comparisons of the Safety and Effectiveness of Robot-Assisted Laparoscopic Partial Nephrectomy for Central Renal Angiomyolipomas: A Propensity Score-Matched Analysis Study.

To compare the safety and effectiveness of robot-assisted partial nephrectomy (RAPN) laparoscopic ...

Emerging Applications for Computer Vision and Artificial Intelligence in Management of the Cardiovascular Patient.

Artificial intelligence and telemedicine promise to reshape patient care to an unprecedented extent,...

Console and bedside surgeon fused robot-assisted thoracic surgery.

In the last decade, even thoracic surgery has seen an increase in the use of robotic surgical system...

Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions.

Cyber-physical or virtual systems or devices that are capable of autonomously interacting with human...

Applications of Artificial Intelligence in Nursing Care: A Systematic Review.

AIM: To synthesise the available evidence on the applicability of artificial intelligence in nursing...

Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT.

Artificial intelligence (AI) is driving global change. An AI language model like ChatGPT could revol...

Nursing education in the age of artificial intelligence powered Chatbots (AI-Chatbots): Are we ready yet?

This article discusses the challenges and implications of artificial intelligence powered chatbot (A...

System Based on Artificial Intelligence Edge Computing for Detecting Bedside Falls and Sleep Posture.

Bedside falls and pressure ulcers are crucial issues in geriatric care. Although many bedside monito...

Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.

INTRODUCTION: In ageing societies, the number of older adults with complex chronic conditions (CCCs)...

The Role and Potential Contributions of the Artificial Intelligence Language Model ChatGPT.

This discussion paper aims to examine the potential benefits and limitations of using artificial int...

Implementation of a structured robotic colorectal curriculum for general surgery residents.

There is increasing demand for colorectal robotic training for general surgery residents. We impleme...

Harnessing AI for enhancing scientific writing in nursing research: Prospects, pitfalls, and solutions.

Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.

With the rapid advancement of information and communication technology (ICT), big data, and artifici...

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis.

BACKGROUND: Artificial intelligence (AI) can improve the health and well-being of older adults and h...

StethAid: A Digital Auscultation Platform for Pediatrics.

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial...

Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs.

Unrecognized deterioration of COVID-19 patients can lead to high morbidity and mortality. Most exist...