The use of artificial intelligence for delivery of essential health services across WHO regions: a sco** review

JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …

[HTML][HTML] Risk factors analysis of surgical infection using artificial intelligence: a single center study

A Scala, I Loperto, M Triassi, G Improta - International Journal of …, 2022 - mdpi.com
Background: Surgical site infections (SSIs) have a major role in the evolution of medical
care. Despite centuries of medical progress, the management of surgical infection remains a …

Combining simulation models and machine learning in healthcare management: strategies and applications

AM Ponsiglione, P Zaffino, C Ricciardi… - Progress in …, 2024 - iopscience.iop.org
Simulation models and artificial intelligence (AI) are largely used to address healthcare and
biomedical engineering problems. Both approaches showed promising results in the …

[HTML][HTML] Implementation of Predictive Algorithms for the Study of the Endarterectomy LOS

TA Trunfio, A Borrelli, G Improta - Bioengineering, 2022 - mdpi.com
Background: In recent years, the length of hospital stay (LOS) following endarterectomy has
decreased significantly from 4 days to 1 day. LOS is influenced by several common …

Nursing students' critical thinking and associated factors in Vietnam: A multicenter cross-sectional study

TV Nguyen, MF Tang, SY Kuo, SH Hu… - Nurse Education in …, 2023 - Elsevier
Aims This study aimed to evaluate the critical thinking abilities of senior nursing students in
Vietnam and determine factors associated with their critical thinking disposition and skills …

[HTML][HTML] Exploring soil pollution patterns in Ghana's northeastern mining zone using machine learning models

D Kwayisi, RW Kazapoe, S Alidu, SD Sagoe… - Journal of Hazardous …, 2024 - Elsevier
This study assessed the pollution status and effectiveness of machine learning models in
predicting pollution indices in soils from a mining area in Northeastern Ghana. 552 soil …

Discrete event simulation to improve clinical consultations in a rehabilitation cardiology unit

G Improta, L Donisi, E Bossone… - 2022 E-Health and …, 2022 - ieeexplore.ieee.org
In recent years there has been a progressive growth in cardiological comorbidities. In this
context, cardiological consultations assume a relevant importance in healthcare settings for …

Applying artificial intelligence on EDA sensor data to predict stress on minimally invasive robotic-assisted surgery

D Caballero, MJ Pérez-Salazar… - International Journal of …, 2024 - Springer
Purpose This study aims predicting the stress level based on the ergonomic (kinematic) and
physiological (electrodermal activity—EDA, blood pressure and body temperature) …

[PDF][PDF] Embracing Digital Transformation for Sustainable Business in the Construction Industry

LK Leong, L Manickam, R Haque… - Pakistan Journal of …, 2024 - researchgate.net
The construction industry is a main global economy driver for developed and emerging
countries. As reported by Oxford Economics 2021, the construction spending in worldwide …

Faktor Penyebab Stunting di Indonesia: Analisis Data Sekunder Data Ssgi Tahun 2021

A Adityaningrum, N Arsad, H Jusuf - Jambura Journal of …, 2023 - ejurnal.ung.ac.id
Salah satu malnutrisi dengan prevalensi tertinggi di Indonesia adalah stunting pada bayi.
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang diduga merupakan penyebab …