[HTML][HTML] Artificial Intelligence-based technologies in nursing: A sco** literature review of the evidence

H von Gerich, H Moen, LJ Block, CH Chu… - International journal of …, 2022 - Elsevier
Background Research on technologies based on artificial intelligence in healthcare has
increased during the last decade, with applications showing great potential in assisting and …

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit

D van de Sande, ME van Genderen, J Huiskens… - Intensive care …, 2021 - Springer
Purpose Due to the increasing demand for intensive care unit (ICU) treatment, and to
improve quality and efficiency of care, there is a need for adequate and efficient clinical …

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

L Drukker, JA Noble… - Ultrasound in Obstetrics …, 2020 - Wiley Online Library
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as
good as, or even better than, those drawn by humans. AI is already part of our daily life; it is …

Machine learning models for predicting neonatal mortality: a systematic review

C Mangold, S Zoretic, K Thallapureddy, A Moreira… - Neonatology, 2021 - karger.com
Abstract Introduction: Approximately 7,000 newborns die every day, accounting for almost
half of child deaths under 5 years of age. Deciphering which neonates are at increased risk …

2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in arrhythmia management: digital medical tools for heart rhythm professionals: from the …

N Varma, I Cygankiewicz, M Turakhia… - … Heart Journal-Digital …, 2021 - academic.oup.com
This collaborative statement from the International Society for Holter and Noninvasive
Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific …

Predicting inpatient flow at a major hospital using interpretable analytics

D Bertsimas, J Pauphilet, J Stevens… - … & Service Operations …, 2022 - pubsonline.informs.org
Problem definition: Translate data from electronic health records (EHR) into accurate
predictions on patient flows and inform daily decision making at a major hospital …

How artificial intelligence (AI) supports nursing education: profiling the roles, applications, and trends of AI in nursing education research (1993–2020)

GJ Hwang, KY Tang, YF Tu - Interactive Learning Environments, 2024 - Taylor & Francis
This study provides research-based evidence to profile:(1) the roles of artificial intelligence
in nursing,(2) its research applications, and (3) the research trends for future study. On the …

Artificial intelligence in surgery

C Varghese, EM Harrison, G O'Grady, EJ Topol - Nature Medicine, 2024 - nature.com
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Development of artificial neural networks for early prediction of intestinal perforation in preterm infants

J Son, D Kim, JY Na, D Jung, JH Ahn, TH Kim… - Scientific Reports, 2022 - nature.com
Intestinal perforation (IP) in preterm infants is a life-threatening condition that may result in
serious complications and increased mortality. Early Prediction of IP in infants is important …

[HTML][HTML] Artificial intelligence in thoracic surgery: past, present, perspective and limits

H Etienne, S Hamdi, M Le Roux… - European …, 2020 - Eur Respiratory Soc
Artificial intelligence (AI) technology is becoming prevalent in many areas of everyday life.
The healthcare industry is concerned by it even though its widespread use is still limited …