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A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
Artificial intelligence (AI) based predictive models for early detection of cardiovascular disease (CVD) risk are increasi...
Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events
Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events
Medical advances prolonging life have led to more permanent pacemaker implants. When pacemaker implantation (PMI) is commo...
A Cost-Affordable Methodology of 3D Printing of Bone Fractures Using DICOM Files in Traumatology
A Cost-Affordable Methodology of 3D Printing of Bone Fractures Using DICOM Files in Traumatology
Three-dimensional (3D) printing has gained popularity across various domains but remains less integrated into medical surg...
Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review
Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review
Over the past decade, healthcare systems have started to establish control centres to manage patient flow, with a view to ...
Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3
Networking Aspects of the Electronic Health Records: Hypertext Transfer Protocol Version 2 (HTTP/2) vs HTTP/3
The rapid development of the digital healthcare and the electronic health records (EHR) requires smooth networking infrast...
A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry
A Mobile Post Anesthesia Care Unit Order Reminder System Improves Timely Order Entry
Transition to the postanesthesia care unit (PACU) requires timely order placement by anesthesia providers. Computerized or...
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine
ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine
Artificial Intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize variou...
Navigating Challenges and Seizing Opportunities in China’s Era of Online Health Education
Navigating Challenges and Seizing Opportunities in China’s Era of Online Health Education
The rapid growth of internet users in China presents opportunities for advancing the “Healthy China 2030” init...
Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment
Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment
Wearable electronics are increasingly common and useful as health monitoring devices, many of which feature the ability to...
A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data
A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data
Myocardial Infarction (MI) commonly referred to as a heart attack, results from the abrupt obstruction of blood supply to ...
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
Designing implants for large and complex cranial defects is a challenging task, even for professional designers. Current e...
An innovative method to strengthen evidence for potential drug safety signals using Electronic Health Records
An innovative method to strengthen evidence for potential drug safety signals using Electronic Health Records
Reports from spontaneous reporting systems (SRS) are hypothesis generating. Additional evidence such as more reports is re...
Publication Trends and Hot Spots of ChatGPT’s Application in the Medicine
Publication Trends and Hot Spots of ChatGPT’s Application in the Medicine
This study aimed to analyze the current landscape of ChatGPT application in the medical field, assessing the current colla...
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Asthma, a common chronic respiratory disease among children and adults, affects more than 200 million people worldwide and...
Virtual Reality for Cardiopulmonary Resuscitation Healthcare Professionals Training: A Systematic Review
Virtual Reality for Cardiopulmonary Resuscitation Healthcare Professionals Training: A Systematic Review
Virtual reality (VR) is becoming increasingly popular to train health-care professionals (HCPs) to acquire and/or maintain...
Web-based Dashboard on ECMO Utilization in Germany: An Interactive Visualization, Analyses, and Prediction Based on Real-life Data
Web-based Dashboard on ECMO Utilization in Germany: An Interactive Visualization, Analyses, and Prediction Based on Real-life Data
In Germany, a comprehensive reimbursement policy for extracorporeal membrane oxygenation (ECMO) results in the highest per...
Developing an Ontology Representing Fall Risk Management Domain Knowledge
Developing an Ontology Representing Fall Risk Management Domain Knowledge
Ontologies serve as comprehensive frameworks for organizing domain-specific knowledge, offering significant benefits for m...
Learning with AI Language Models: Guidelines for the Development and Scoring of Medical Questions for Higher Education
Learning with AI Language Models: Guidelines for the Development and Scoring of Medical Questions for Higher Education
In medical and biomedical education, traditional teaching methods often struggle to engage students and promote critical t...
Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative
Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative
Background: Preterm neonates are extensively monitored to require strict oxygen target attainment for optimal outcomes. In...
Patient Engagement with Conversational Agents in Health Applications 2016–2022: A Systematic Review and Meta-Analysis
Patient Engagement with Conversational Agents in Health Applications 2016–2022: A Systematic Review and Meta-Analysis
Clinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a h...
A Dynamic Marketplace for Distributing Anesthesia Call: A Quality Improvement Initiative
A Dynamic Marketplace for Distributing Anesthesia Call: A Quality Improvement Initiative
Anesthesiologists have a significant responsibility to provide care at all hours of the day, including nights, weekends, a...