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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...
A Narrative-Gamified Mental Health App (Kuamsha) for Adolescents in Uganda: Mixed Methods Feasibility and Acceptability Study
A Narrative-Gamified Mental Health App (Kuamsha) for Adolescents in Uganda: Mixed Methods Feasibility and Acceptability Study
Background: Many adolescents in Uganda are affected by common mental disorders, but only a few affordable treatment option...
Game-Based Promotion of Assertiveness to Mitigate the Effects of Bullying in High School Students: Development and Evaluation Study
Game-Based Promotion of Assertiveness to Mitigate the Effects of Bullying in High School Students: Development and Evaluation Study
Background: For years, Mexico has reported the highest global incidence of school bullying, with approximately 19% of stud...
Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing
Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing
Background: Words are a natural way to describe mental states in humans, while numerical values are a convenient and effec...
Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality–Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study
Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality–Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study
Background: With substantial resources allocated to develop virtual reality (VR)–based rehabilitation exercise programs fo...
User Experience of a Semi-Immersive Musical Serious Game to Stimulate Cognitive Functions in Hospitalized Older Patients: Questionnaire Study
User Experience of a Semi-Immersive Musical Serious Game to Stimulate Cognitive Functions in Hospitalized Older Patients: Questionnaire Study
Background: Reminiscence therapy through music is a psychosocial intervention with benefits for elderly patients with neur...
Virtual Reality High-Intensity Interval Training Exergaming Compared to Traditional High-Intensity Circuit Training Among Medical Students: Pilot Crossover Study
Virtual Reality High-Intensity Interval Training Exergaming Compared to Traditional High-Intensity Circuit Training Among Medical Students: Pilot Crossover Study
Background: This study evaluated the effectiveness of a virtual reality (VR) high-intensity interval training (HIIT) boxin...
Effectiveness of a Virtual Reality Serious Video Game (The Secret Trail of Moon) for Emotional Regulation in Children With Attention-Deficit/Hyperactivity Disorder: Randomized Clinical Trial
Effectiveness of a Virtual Reality Serious Video Game (The Secret Trail of Moon) for Emotional Regulation in Children With Attention-Deficit/Hyperactivity Disorder: Randomized Clinical Trial
Background: Difficulties in emotional regulation are often observed in children and adolescents with attention-deficit/hyp...
Tongue Muscle Training App for Middle-Aged and Older Adults Incorporating Flow-Based Gameplay: Design and Feasibility Pilot Study
Tongue Muscle Training App for Middle-Aged and Older Adults Incorporating Flow-Based Gameplay: Design and Feasibility Pilot Study
Background: Complications due to dysphagia are increasingly prevalent among the elderly; however, the tediousness and comp...
Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region
Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region
Background: The gaming and gambling overlap have intensified with new evidence emerging. However, the relationship between...
Pervasive Games for Sexual Health Promotion: Scoping Literature Review
Pervasive Games for Sexual Health Promotion: Scoping Literature Review
Background: Serious games play a fundamental role in promoting safe sexual behaviors. This medium has great potential for ...
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Targeted Development and Validation of Clinical Prediction Models in Secondary Care Settings: Opportunities and Challenges for Electronic Health Record Data
Before deploying a clinical prediction model (CPM) in clinical practice, its performance needs to be demonstrated in the p...
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
Background: Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to c...
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
Background: Assessing disease progression among uncontrolled hypertension (HTN) patients is important for identifying oppo...
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study
Background: Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing...
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation
Background: The bidirectional encoder representations from transformers (BERT) model has attracted considerable attention ...
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