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A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits
A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits
The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various strategies have been pr...
From Conflict to Care - Telemedicine Utilization During Wartime: A Retrospective Cohort Study
From Conflict to Care - Telemedicine Utilization During Wartime: A Retrospective Cohort Study
Armed conflict poses severe challenges to healthcare delivery, requiring rapid adaptation. This study evaluates how teleme...
Infection Spread and Outbreaks Support with Spatial-Temporal Visualization Tool for Hospitals
Infection Spread and Outbreaks Support with Spatial-Temporal Visualization Tool for Hospitals
Hospital-acquired infections (HAIs), especially those caused by multidrug-resistant bacteria, represent a critical challen...
Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery
Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery
The integration of wearable medical devices into surgical practice has transformed the field, enabling enhanced precision,...
Narrative Review of Electronic Health Record Systems in Anesthesia: Benefits, Risks, and Medico-Legal Considerations in the United States of America
Narrative Review of Electronic Health Record Systems in Anesthesia: Benefits, Risks, and Medico-Legal Considerations in the United States of America
Electronic health records (EHRs) have transformed healthcare delivery and documentation by accurately capturing routine ca...
The Impact of Virtual-, Augmented- and Mixed Reality during Preoperative Informed Consent: A Systematic Review of the Literature
The Impact of Virtual-, Augmented- and Mixed Reality during Preoperative Informed Consent: A Systematic Review of the Literature
This systematic literature review aimed to examine the effects of Virtual Reality (VR), Augmented Reality (AR), and Mixed ...
Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks
Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks
The prediction of epileptic seizures heavily depends on the precise embedding and classification of complex, multi-dimensi...
A Simulation-Based Approach for Inpatient Capacity Management at a Hospital Dedicated for Cancer Treatment
A Simulation-Based Approach for Inpatient Capacity Management at a Hospital Dedicated for Cancer Treatment
This paper describes the development and application of an analytical solution to assist with inpatient flow and capacity ...
Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis
Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis
To review empirical research on ChatGPT’s accuracy in answering ophthalmology board-style examination questions up t...
Using Performance Frontiers To Evaluate Non-OR Anesthesia (NORA) Efficiency
Using Performance Frontiers To Evaluate Non-OR Anesthesia (NORA) Efficiency
In high-cost, high-revenue operating room (OR) suites, dashboards displaying key performance indicators are commonplace to...
Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models
Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electr...
Why Clinical Trials Will Fail to Ensure Safe AI
Why Clinical Trials Will Fail to Ensure Safe AI
Recent reports have raised concerns about emergent behaviors in next-generation artificial intelligence (AI) models. These...
Quantum Oncology: The Applications of Quantum Computing in Cancer Research
Quantum Oncology: The Applications of Quantum Computing in Cancer Research
A global technological race is underway to develop increasingly powerful and precise quantum computers. As a transformativ...
Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark
Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark
HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical conversations evaluated again...
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,...
An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study
An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study
The worldwide nursing shortage has led to the exploration of using robotics to support care delivery and reduce nursesR...
An Artificial Intelligent System for Prostate Cancer Diagnosis in Whole Slide Images
An Artificial Intelligent System for Prostate Cancer Diagnosis in Whole Slide Images
In recent years a significant demand to develop computer-assisted diagnostic tools to assess prostate cancer using whole s...
Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review
Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review
Stroke registries are tools for improving care and advancing research. We aim to describe the methodology and resourcing o...
How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots’ Responses About Female Urinary Incontinence
How Useful are Current Chatbots Regarding Urology Patient Information? Comparison of the Ten Most Popular Chatbots’ Responses About Female Urinary Incontinence
This research evaluates the readability and quality of patient information material about female urinary incontinence (fUI...
Electronic Health Records Sharing Based on Consortium Blockchain
Electronic Health Records Sharing Based on Consortium Blockchain
In recent years, Electronic health records (EHR) has gradually become the mainstream in the healthcare field. However, due...
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
Self-Supervised Learning for Near-Wild Cognitive Workload Estimation
Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback fro...
Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse
Garbage In, Garbage Out? Negative Impact of Physiological Waveform Artifacts in a Hospital Clinical Data Warehouse
Hospitals around the world are deploying increasingly advanced systems to collect and store high-resolution physiological ...
Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach
Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach
To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with st...
Electronic Medication Reconciliation Tools Aimed at Healthcare Professionals to Support Medication Reconciliation: a Systematic Review
Electronic Medication Reconciliation Tools Aimed at Healthcare Professionals to Support Medication Reconciliation: a Systematic Review
The development of health information technology available and accessible to professionals is increasing in the last few y...
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study
To develop two deep learning-based systems for diagnosing and localizing pneumothorax on portable supine chest X-rays (SCX...
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