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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...
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...
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...
Evaluating the Performance of Different Large Language Models on Health Consultation and Patient Education in Urolithiasis
Evaluating the Performance of Different Large Language Models on Health Consultation and Patient Education in Urolithiasis
To evaluate the effectiveness of four large language models (LLMs) (Claude, Bard, ChatGPT4, and New Bing) that have large ...
A Lightweight Deep Learning Framework for Automatic MRI Data Sorting and Artifacts Detection
A Lightweight Deep Learning Framework for Automatic MRI Data Sorting and Artifacts Detection
The purpose of this study is to develop a lightweight and easily deployable deep learning system for fully automated conte...
Health Technology Readiness amongst Patients with Suspected Breast Cancer Using the READHY-tool - a Cross-sectional Study
Health Technology Readiness amongst Patients with Suspected Breast Cancer Using the READHY-tool - a Cross-sectional Study
Information technologies are increasingly used when informing patients about their disease, treatment and prognosis. These...
Screening for Psychological Distress in Healthcare Workers Using Machine Learning: A Proof of Concept
Screening for Psychological Distress in Healthcare Workers Using Machine Learning: A Proof of Concept
The purpose of this study was to train and test preliminary models using two machine learning algorithms to identify healt...
Applications of Artificial Intelligence in Health Care Delivery
Applications of Artificial Intelligence in Health Care Delivery
Health care costs now comprise nearly one-fifth of the United States’ gross domestic product, with the last 25 years...
Case Volume Justification of 3D-Navigated Spinal Procedures: A Cost-Benefit Analysis
Case Volume Justification of 3D-Navigated Spinal Procedures: A Cost-Benefit Analysis
3D image-guidance platforms have transformed spinal surgery by enhancing visualization, increasing precision, and improvin...
Shaping Social Media: Is Twitter an Equitable tool for Professional Development?
Shaping Social Media: Is Twitter an Equitable tool for Professional Development?
Purpose: Twitter has become a powerful tool for professional development in academia. However, studies from the general po...
TBUnet: A Pure Convolutional U-Net Capable of Multifaceted Feature Extraction for Medical Image Segmentation
TBUnet: A Pure Convolutional U-Net Capable of Multifaceted Feature Extraction for Medical Image Segmentation
Many current medical image segmentation methods utilize convolutional neural networks (CNNs), with some extended U-Net-bas...
The Role of Wearable Sensors in the Future Primary Healthcare – Preferences of the Adult Swiss Population: A Mixed Methods Approach
The Role of Wearable Sensors in the Future Primary Healthcare – Preferences of the Adult Swiss Population: A Mixed Methods Approach
Wearable sensors have the potential to increase continuity of care and reduce healthcare expenditure. The user concerns an...
Medical Image Encryption using Biometric Image Texture Fusion
Medical Image Encryption using Biometric Image Texture Fusion
In conjunction with pandemics, medical image data are growing exponentially. In some countries, hospitals collect biometri...
Does Legislation Impede Data Sharing in Australia Across Institutions and Jurisdictions? A Scoping Review
Does Legislation Impede Data Sharing in Australia Across Institutions and Jurisdictions? A Scoping Review
In Australia, regulations governing data, including formal legislation and policies promulgated by private and public agen...