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Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities
Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities
With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial int...
Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation
Optimizing Medical Care during a Nerve Agent Mass Casualty Incident Using Computer Simulation
Chemical mass casualty incidents (MCIs) pose a substantial threat to public health and safety, with the capacity to overwh...
Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination
Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination
Chat Generative Pretrained Transformer (ChatGPT; OpenAI) is a state-of-the-art large language model that can simulate huma...
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
In the rapidly evolving field of medical image analysis utilizing artificial intelligence (AI), the selection of appropria...
Assessing the Relationship between Hospital Process Digitalization and Hospital Quality – Evidence from Germany
Assessing the Relationship between Hospital Process Digitalization and Hospital Quality – Evidence from Germany
Hospital digitalization aims to increase efficiency, reduce costs, and/ or improve quality of care. To assess a digitaliza...
The Potential for a Propofol Volume and Dosing Decision Support Tool in an Electronic Health Record System to Provide Anticipated Propofol Volumes and Reduce Waste
The Potential for a Propofol Volume and Dosing Decision Support Tool in an Electronic Health Record System to Provide Anticipated Propofol Volumes and Reduce Waste
Competing Interests Brad Feng is an employee of Epic System...
Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database
Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database
In Intensive Care Unit (ICU), the settings of the critical alarms should be sensitive and patient-specific to detect signs...
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologi...
Emergency Medical Access Control System Based on Public Blockchain
Emergency Medical Access Control System Based on Public Blockchain
IT has made significant progress in various fields over the past few years, with many industries transitioning from paper-...
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Diabetes mellitus is called as the “pandemic of the era” due to its rising prevalence. Since it is a disease t...
The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis
The Impact of Customized Screening Intervals on the Burden of Drug-Drug Interaction Alerts: An Interrupted Time Series Analysis
Fixed and broad screening intervals for drug-drug interaction (DDI) alerts lead to false positive alerts, thereby contribu...
Preventing Overrides of Severe Drug Allergy Alerts Initiative: an Implemented System Upgrade
Preventing Overrides of Severe Drug Allergy Alerts Initiative: an Implemented System Upgrade
Administering medications to patients with documented drug hypersensitivity reactions (DHR) poses a significant risk for a...
Automatic Enrollment in Patient Portal Systems Mitigates the Digital Divide in Healthcare: An Interrupted Time Series Analysis of an Autoenrollment Workflow Intervention
Automatic Enrollment in Patient Portal Systems Mitigates the Digital Divide in Healthcare: An Interrupted Time Series Analysis of an Autoenrollment Workflow Intervention
Racial and ethnic healthcare disparities require innovative solutions. Patient portals enable online access to health reco...
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis
The use of artificial intelligence (AI) in the segmentation of liver structures in medical images has become a popular res...
High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding
High Capacity and Reversible Fragile Watermarking Method for Medical Image Authentication and Patient Data Hiding
The exchange of medical images and patient data over the internet has attracted considerable attention in the past decade,...
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...
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...
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...
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...
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...
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 ...
Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases
Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases
Artificial Intelligence (AI), particularly AI-Generated Imagery, has the potential to impact medical and patient education...
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...
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...
Generalized Confidence Intervals for Ratios of Standard Deviations Based on Log-Normal Distribution when Times Follow Weibull Distributions
Generalized Confidence Intervals for Ratios of Standard Deviations Based on Log-Normal Distribution when Times Follow Weibull Distributions
Modern anesthetic drugs ensure the efficacy of general anesthesia. Goals include reducing variability in surgical, trachea...
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...
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