Skip Navigation
Skip to contents
Filter

ARTICLE TYPE

PUBLICATION DATE

10 results
Display

Present and Future of Utilizing Healthcare Data

Choi IY

CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Healthcare Information Technology: A Systematic Mapping Study

Belmonte EM, Tortosa SO, Ortega LdM, Gutiérrez-Martínez JM

Objectives: This paper presents a systematic mapping of studies related to information systems and technology in the field of healthcare, enabling a visual mapping of the different lines of knowledge...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study

Yoo J, Hur S, Hwang W, Cha WC

Objectives: Although medical artificial intelligence (AI) systems that assist healthcare professionals in critical care settings are expected to improve healthcare, skepticism exists regarding whether their potential has been fully actualized....
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Use of Social Media to View and Post Dentistry-related Information in Bahrain: A Cross-Sectional Study

Sivaramakrishnan G, AbdulAmeer F, Faisal F, Mansoor Z, Hasan S, Ebrahim S, AlSalihi L, Alsobaiei M

Objectives: Healthcare-related information sharing via social media is on the rise following the coronavirus disease 2019 (COVID-19) pandemic. Dental practices primarily use social media to search, share, and communicate health-related...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Prevalence of Nomophobia in University Students: A Systematic Review and Meta-Analysis

Tuco KG, Castro-Diaz SD, Soriano-Moreno DR, Benites-Zapata VA

Objectives: The aim of this study was to assess the prevalence of nomophobia in university students. Methods: A systematic search was conducted of the following databases: Web of Science/ Core Collection,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café

Park JY, Lee J, Hong B

Objectives: Portal sites have become places to share queries about performing nursing and obtain expert know-how. This study aimed to analyze topics of interest in the field of infusion nursing...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Clinical Decision Support System for Geriatric Dental Treatment Using a Bayesian Network and a Convolutional Neural Network

Thanathornwong B, Suebnukarn S, Ouivirach K

Objectives: The aim of this study was to evaluate the performance of a clinical decision support system (CDSS) for therapeutic plans in geriatric dentistry. The information that needs to be...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Machine Learning-based Classifiers for the Prediction of Low Birth Weight

Arayeshgari M, Najafi-Ghobadi S, Tarhsaz H, Parami S, Tapak L

Objectives: Low birth weight (LBW) is a global concern associated with fetal and neonatal mortality as well as adverse consequences such as intellectual disability, impaired cognitive development, and chronic diseases...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery

Chaiprasittikul N, Thanathornwong B, Pornprasertsuk-Damrongsri S, Raocharernporn S, Maponthong S, Manopatanakul S

Objectives: Orthognathic surgery is used to treat moderate to severe occlusal discrepancies. Examinations and measurements for preoperative screening are essential procedures. A careful analysis is needed to decide whether cases...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development of an Automatic Pill Image Data Generation System

Lee J, Kwon S, Kim JH, Kim KG

Objectives: Since the easiest way to identify pills and obtain information about them is to distinguish them visually, many studies on image processing technology exist. However, no automatic system for...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr