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Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
Laser markers installed on the walls and ceiling of the bunker are usually used for patient positioning in radiotherapy. T...
Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
This paper conducts an extensive literature review to examine the applications of Brain-Computer Interface (BCI) technolog...
Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function
Low-grade magnetic resonance image enhancement using adaptive sigmoid transformation function
Medical images are crucial to monitor a patient’s health and provide an accurate diagnosis. Medical photos typically...
Health disparity in digital health technology design
Health disparity in digital health technology design
The rapid development of digital health technology has transformed the current medical practice. However, lack of consider...
Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
Emerging and re-emerging viral infections are accountable for fatal outbreaks across the globe. In the light of the COVID-...
Analyzing third-party data leaks on online pharmacy websites
Analyzing third-party data leaks on online pharmacy websites
With digitalization, using essential digital services such as online services has become increasingly common. These servic...
Training protocol for driving power wheelchairs using virtual environment: preliminary results from a pilot study
Training protocol for driving power wheelchairs using virtual environment: preliminary results from a pilot study
Despite the advancements in power wheelchair simulators, there is still a lack of standardized tests to determine a user&#...
Assessing ASPECTS and ICH score reliability on NCCT scans via SMART INDIA App and PACS by neurologists and neuro-radiologists
Assessing ASPECTS and ICH score reliability on NCCT scans via SMART INDIA App and PACS by neurologists and neuro-radiologists
Inter-rater reliability is a critical aspect of stroke image interpretation. This study aims to investigate inter-rater re...
Awareness and knowledge on breast cancer screening among reproductive aged women in some parts of Ghana
Awareness and knowledge on breast cancer screening among reproductive aged women in some parts of Ghana
Breast cancer is the commonest cancer and the leading cause of cancer deaths among women. However, information about breas...
Validation of an in-house developed therapeutic dosimetric software tool for the treatment of 177Lutetium-DOTATATE peptide receptor radionuclide therapy
Validation of an in-house developed therapeutic dosimetric software tool for the treatment of 177Lutetium-DOTATATE peptide receptor radionuclide therapy
Computer software for absorbed dose quantification has been used widely in nuclear medicine. Different software t...
Multiple thoracic diseases detection from X-rays using CX-Ultranet
Multiple thoracic diseases detection from X-rays using CX-Ultranet
Recent developments in deep learning have demonstrated impressive performance in accurately identifying individual disease...
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Parkinson’s disease (PD) is one of the most prevalent neurodegenerative diseases in the global context. The...
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
This paper is a systematic literature review of the use of artificial intelligence techniques to detect early dementia. It...
Architectural solutions for improving transparency, data quality, and security in eHealth systems by designing and adding blockchain modules, while maintaining interoperability: the eHDSI network case
Architectural solutions for improving transparency, data quality, and security in eHealth systems by designing and adding blockchain modules, while maintaining interoperability: the eHDSI network case
The main purpose and research question of the paper are to investigate the practical application of the eHealth Digital Se...
An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth
An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealth
Acute decompensated heart failure (ADHF) is the most prevalent cause of acute respiratory distress worldwide, accounting f...
Impact of national recognition on medical physicist job positions in Indonesia: survey study from 2015–2021
Impact of national recognition on medical physicist job positions in Indonesia: survey study from 2015–2021
National recognition of the medical physicist profession in Indonesia was initiated by the Ministry of Health Decree in 20...
A pre-processing tool to increase performance of deep learning-based CAD in digital breast Tomosynthesis
A pre-processing tool to increase performance of deep learning-based CAD in digital breast Tomosynthesis
Worldwide, female breast cancer is the fifth leading cause of death. Digital Breast Tomosynthesis (DBT) is increasingly in...
An artificial intelligent network model to monitor the condition of a patient with a breast tumor based on fuzzy logic
An artificial intelligent network model to monitor the condition of a patient with a breast tumor based on fuzzy logic
This article introduces an intelligent network for monitoring breast cancer patients. The increase in the network's sp...
Sensing health: a bibliometric analysis of wearable sensors in healthcare
Sensing health: a bibliometric analysis of wearable sensors in healthcare
This study aimed to provide a bibliometric analysis reviewing research trends and developments in wearable health sensors ...
Developing policy-ready digital dashboards of geospatial access to emergency obstetric care: a survey of policymakers and researchers in sub-Saharan Africa
Developing policy-ready digital dashboards of geospatial access to emergency obstetric care: a survey of policymakers and researchers in sub-Saharan Africa
Dashboards are increasingly being used in sub-Saharan Africa (SSA) to support health policymaking and governance. However,...
Of digital transformation in the healthcare (systematic review of the current state of the literature)
Of digital transformation in the healthcare (systematic review of the current state of the literature)
This study aims to assess the advances brought by digital technologies in medical practices and uncover why the HC sector ...
Data management for resource optimization in medical IoT
Data management for resource optimization in medical IoT
Medical IoT plays a substantial role in improving healthcare and patient monitoring. Enhancing the quality of healthcare s...
Comparative analysis of machine learning and ensemble approaches for hepatitis B prediction using data mining with synthetic minority oversampling technique
Comparative analysis of machine learning and ensemble approaches for hepatitis B prediction using data mining with synthetic minority oversampling technique
Hepatitis B, caused by the Hepatitis B virus (HBV), can harm the liver without noticeable symptoms. Early detection is cru...
Explainability analysis in predictive models based on machine learning techniques on the risk of hospital readmissions
Explainability analysis in predictive models based on machine learning techniques on the risk of hospital readmissions
Analyzing the risk of re-hospitalization of patients with chronic diseases allows the healthcare institutions can deliver ...
FAIR sharing of health data: a systematic review of applicable solutions
FAIR sharing of health data: a systematic review of applicable solutions
Data sharing is essential in health science research. This has also been acknowledged by governments and institutions who ...
Significance of Digital Health Technologies (DHTs) to manage communicable and non-communicable diseases in Low and Middle-Income Countries (LMICs)
Significance of Digital Health Technologies (DHTs) to manage communicable and non-communicable diseases in Low and Middle-Income Countries (LMICs)
The emerging infectious diseases and the escalating trend of outbreaks have influenced the socioeconomic situations in Low...
Radiotherapy infrastructure for brain metastasis treatment in Africa: practical guildelines for implementation of a stereotactic radiosurgery (SRS) program
Radiotherapy infrastructure for brain metastasis treatment in Africa: practical guildelines for implementation of a stereotactic radiosurgery (SRS) program
Radiosurgery with the Gamma Knife is the golden standard for the treatment of brain metastasis cases but its accessibility...
Factors influencing medical imaging technology uptake by private hospitals
Factors influencing medical imaging technology uptake by private hospitals
This article analyses the factors influencing the uptake of computed tomography (CT) and magnetic resonance imaging (MRI) ...
Artificial intelligence for healthcare in Africa: a scientometric analysis
Artificial intelligence for healthcare in Africa: a scientometric analysis
Artificial intelligence (AI) has greatly transformed healthcare in developed countries. However, there is limited data des...
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
Breath profiling has gained importance in recent years as it is a non-invasive technique to identify biomarkers for variou...
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