Search
Search Results
-
Pregnancy with Artificial Intelligence A 9.5 Months Journey From Preconception to Birth
This book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied...
-
VRLE-Based Teaching for Medical Students: VR-Baby
Educational technology plays an important role in supporting mainstream medical education. Virtual reality (VR) is a potentially beneficial learning... -
Application of Genetic Algorithms in Healthcare: A Review
Metaheuristic algorithms were created to provide the best solutions for complicated data analysis jobs in an acceptable amount of time. These... -
Experience API (xAPI) for Virtual Reality (VR) Education in Medicine
The Experience API (xAPI) is an e-learning software specification that allows learning content and learning systems to speak to each other in a... -
Analyze Scheduling Problem on Operation Theatre in Malaysian Public Hospital Using Integer Linear Programming Method
Operation theatre is one of the largest revenue centres of hospitals but also required high costs, therefore, the schedule of operation theatre... -
Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours
BackgroundThe timely identification and management of ovarian cancer are critical determinants of patient prognosis. In this study, we developed and...
-
Introduction
This chapter is an introduction to the book Mixed Reality for Education which is part of the Springer series on Gaming Media and Social Effects. -
Improvement of outpatient service processes: a case study of the university of Hong Kong-Shenzhen hospital
PurposeThis work presents a case study of the University of Hong Kong-Shenzhen Hospital (HKU-SZH), which was the first to implement an outpatient...
-
Review on Fetal Health Classification
Cardiotocography (CTG) is a method that obstetricians use to assess the physical health of the foetus during pregnancy. It provides information on... -
The Efficiency of Italian Hospitals Using Data Envelopment Analysis (DEA) and Classification Tree
Comparing the efficiency of hospitals encourages transparency, and better policymaking and helps to raise the standard of healthcare provided. In our... -
Introduction to ‘Eruptive Technologies in Learning’
Education today is undergoing change, supported by relevant technologies, to enhance both content delivery and the student learning experience. How... -
“We’re Pregnant!” Artificial Intelligence by Your Side
The aim of this chapter is to present how Artificial Intelligence can be used in order to signal any potential congenital diseases of the fetus... -
Fetal head biometrics measurements using convolutional neural network and mid-point ellipse drawing algorithm
During pregnancy, it is considered to be necessary to monitor and measure fetal development. There are different fetal biometrics among which the...
-
Electronic Prescription Service for Improved Healthcare Delivery
The aim of this research paper is to explore the potential of machine learning techniques in predicting the utilization of the Electronic... -
Our University’s Women Engineers in Harmony with the Past and the Present - A Presentation Paper from the Organizers of the ICL-IGIP 2025 Conference
We would like to give you some information about our university, the Budapest University of Technology and Economics, our Technical Pedagogical... -
Blockchain-based multi-user certificateless encryption with keyword search for electronic health record sharing
Nowadays, with the rapid development of smart health-care based on electronic health records, it remarkably supplies a promising way to alleviate the...
-
Machine Learning-Based Diagnosis of Diseases Associated with Abnormal and Heavy Menstrual Bleeding: A Literature Review
Measurement of menstrual blood loss is an important criterion for determining menorrhagia. Several researches have been done in the area of disease... -
TOPSIS Method Based on Intuitionistic Fuzzy Soft Set and Its Application to Diagnosis of Ovarian Cancer
Fuzzy set theory is a mathematical method for dealing with uncertainty and imprecision in decision-making. Some of the challenges and complexities...
-
Evidence Based Telemedicine
This chapter focuses on evidence based telemedicine and its various applications. Evidence based medicine is the integration of best research... -
Implementation of a decentralised maintenance model with a measurable impact on the functionality and availability of medical equipment in healthcare facilities in Burundi
PurposeThis study measures the impact of implementation of the Improved Decentralized Maintenance Model on the functionality and availability of...