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Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
The advent of Digital Twins DTs in healthcare signifies a paradigm shift toward precision medicine, driven by the escalati...
Hierarchical modeling of CT organ dose estimation uncertainty using BAMBI
Hierarchical modeling of CT organ dose estimation uncertainty using BAMBI
Dosimetry of patients undergoing diagnostic radiology is vital for patient dose optimisation. It is therefore important th...
Examining urban–rural differences in digital patient engagement in the US: evidence from the health information national trends survey, 2020 – 2022
Examining urban–rural differences in digital patient engagement in the US: evidence from the health information national trends survey, 2020 – 2022
This study assessed urban–rural differences in patient engagement through access and use of digital health tools. Go...
Enhancing COVID-19 detection using CT-scan image analysis and disease classification: the DI-QL approach
Enhancing COVID-19 detection using CT-scan image analysis and disease classification: the DI-QL approach
The COVID-19 pandemic represents a significant global crisis, resulting in a substantial number of fatalities worldwide an...
Plan quality metrics to assess the effectiveness of 3DCRT and VMAT treatment strategies for left- sided breast cancer patients
Plan quality metrics to assess the effectiveness of 3DCRT and VMAT treatment strategies for left- sided breast cancer patients
This study aimed to compare and evaluate plan quality metrics differences between two main methods of radiotherapy: 3D con...
Prediction of 14-day hospitalization risk in chronic heart failure patients, using interpretable machine learning methods
Prediction of 14-day hospitalization risk in chronic heart failure patients, using interpretable machine learning methods
We wished to investigate whether the risk of acute hospitalizations of chronic heart failure (CHF) patients, could be pred...
Assessment of radiation exposure measurements using the Ceiling-Mounted Geiger Müller (GM) detector and handheld survey meter in high dose radioactive 131I (RAI) therapy facility
Assessment of radiation exposure measurements using the Ceiling-Mounted Geiger Müller (GM) detector and handheld survey meter in high dose radioactive 131I (RAI) therapy facility
Handheld survey meter is commonly used to measure radiation exposure in patients receiving radioiodine (RAI) therapy prior...
Research & innovation actions with clinical relevance in the field of medical technologies and biomedical engineering under the EU framework programme horizon 2020
Research & innovation actions with clinical relevance in the field of medical technologies and biomedical engineering under the EU framework programme horizon 2020
The European Framework Programme for Research & Innovation represents a key fundi...
Evaluation of tolerance and action limits for delivery quality assurance in two tomotherapy platforms based on AAPM TG-218 recommendations
Evaluation of tolerance and action limits for delivery quality assurance in two tomotherapy platforms based on AAPM TG-218 recommendations
This study evaluates the accuracy of dose distributions in Tomotherapy using two platforms: the Hi-Art and Radixact X9 sys...
Economic impact of healthcare cyber risks
Economic impact of healthcare cyber risks
The healthcare sector is a primary target for cybercriminals, with health data breaches ranking among the most critical th...
Maximizing healthcare security outcomes through AI/ML multi-label classification approach on IoHT devices
Maximizing healthcare security outcomes through AI/ML multi-label classification approach on IoHT devices
The Internet of Health Things (IoHT) is a precise adaptation of the Internet of Things (IoT) in the health domain that all...
An efficient Parkinson's disease detection using smoothed pseudo-Wigner Ville distribution and MobileNetV2 convolutional neural network
An efficient Parkinson's disease detection using smoothed pseudo-Wigner Ville distribution and MobileNetV2 convolutional neural network
Currently, PD is diagnosed based on clinical symptoms, which can be difficult to identify the disease in its early stages....
Optimizing phantom-less QA in VMAT: a site-specific approach using EPIbeam software
Optimizing phantom-less QA in VMAT: a site-specific approach using EPIbeam software
Online phantom-less quality assurance (QA) software (EPIbeam) has been utilized to perform and analyze patient pretreatmen...
Revolutionizing prostate cancer screening: Machine learning-driven FTIR analysis of biofluidic EVs integrated with clinical profiles
Revolutionizing prostate cancer screening: Machine learning-driven FTIR analysis of biofluidic EVs integrated with clinical profiles
Early detection of prostate cancer is crucial for successful treatment; however, uncertainties in prostate-specific antige...
Boosting predictive accuracy in tumor cellularity evaluation with AI-powered ensemble methods
Boosting predictive accuracy in tumor cellularity evaluation with AI-powered ensemble methods
Tumor cellularity Evaluation quantifies the proportion of tumor cells in a sample, providing a precise measure of tumor bu...
Establishment and utilization of diagnostic reference level for interventional procedures for adult patients in Ghana
Establishment and utilization of diagnostic reference level for interventional procedures for adult patients in Ghana
In recent years various international organisations including IAEA, ICRP, and EURATOM consider interventional rad...
Digital contact tracing technology in the COVID-19 pandemic: a systematic review
Digital contact tracing technology in the COVID-19 pandemic: a systematic review
The COVID-19 pandemic prompted public health teams across the world to emphasize case identification, contact tracing, and...
AI-powered clinical trials and the imperative for regulatory transparency and accountability
AI-powered clinical trials and the imperative for regulatory transparency and accountability
The transformative impact of Artificial intelligence (AI) on clinical trials is explored. To identify the potential benefi...
Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers
Decoding emotions and unveiling stress: a non-invasive approach through sequential feature extraction and multiclass classifiers
Stress is widespread in the modern world. It is a complex fusion of psychological and physiological tension that leads to ...
COVID-19’s impact on drug overdose fatalities and urgent mental health care demand in the US
COVID-19’s impact on drug overdose fatalities and urgent mental health care demand in the US
The purpose of this study is to scrutinize the repercussions of the COVID-19 pandemic on the incidence of drug overdose fa...
Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers
Enhancing treatment precision through radiobiological modeling for evaluating complex VMAT plans in prostate and head-and-neck cancers
Regarding the importance of radiation therapy treatment planning in treatment outcomes, this study aimed to evaluate the q...
Dose prediction model and cancer risk estimation as quality check in multi-detector computed tomography
Dose prediction model and cancer risk estimation as quality check in multi-detector computed tomography
Due to the health risks associated with radiation exposure, the radiology community currently controls and tracks the radi...
Physical and mechanical properties of cellulose based hemostatic agents: an in vitro comparison
Physical and mechanical properties of cellulose based hemostatic agents: an in vitro comparison
Cellulose based hemostatic agents have been widely applied in various surgical specialties and play an important role on a...
Digital signatures in electronic health records: a scoping review
Digital signatures in electronic health records: a scoping review
This scoping review sought to understand the current knowledge on using digital signatures in implemented electronic healt...
Nanotechnology based materials and inventions to fight against COVID-19: recent progress in the development of robust diagnostics, surveillance tools, therapeutics and vaccines
Nanotechnology based materials and inventions to fight against COVID-19: recent progress in the development of robust diagnostics, surveillance tools, therapeutics and vaccines
Outbreak of SARS-CoV2 and the COVID-19 pandemic had posed a threat to the healthcare system. The world had witnessed the f...
Performance of ChatGPT on basic healthcare leadership and management questions
Performance of ChatGPT on basic healthcare leadership and management questions
ChatGPT is an LLM-based chatbot introduced in 2022. This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 o...
A comparative study between MC simulation and TLD measurements of radiation doses to other parts of the body during gynaecological brachytherapy
A comparative study between MC simulation and TLD measurements of radiation doses to other parts of the body during gynaecological brachytherapy
The study of long-term radiation effects has become important due to the growing survival rates among cancer patients. Bra...
A thematic analysis of ransomware incidents among United States hospitals, 2016–2022
A thematic analysis of ransomware incidents among United States hospitals, 2016–2022
To characterize the patterns, vulnerabilities, and responses associated with ransomware incidents in U.S. hospitals. The s...
Unsupervised generative learning-based decision-making system for COVID-19 detection
Unsupervised generative learning-based decision-making system for COVID-19 detection
The study aims to develop an unsupervised framework using COVGANs to learn better visual representations of COVID-19 from ...
Establishment of institutional Diagnostic Reference Levels for Computed Tomography examination at the University of Ghana Medical Centre
Establishment of institutional Diagnostic Reference Levels for Computed Tomography examination at the University of Ghana Medical Centre
Diagnostic Reference Levels are important indicators for monitoring and optimizing protocol and procedure in medical imagi...
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