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Revolutionizing the Teaching of Ultrasound-Guided Vascular Access Procedures with Augmented Reality Headsets
Revolutionizing the Teaching of Ultrasound-Guided Vascular Access Procedures with Augmented Reality Headsets
Support was provided solely from institutional and/or departmental sources. We extend our heartfelt gratitude to Drs. Jan...
Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk
Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk
A deep learning model was developed to identify osteoporosis from chest X-ray (CXR) features with high accuracy in interna...
Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images
Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images
Many automated approaches have been proposed in literature to quantify clinically relevant wound features based on image p...
Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning
The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cannot be treated provides...
Adoption and Sustained Use of Primary Care Video Visits Among Veterans with VA Video-Enabled Tablets
Adoption and Sustained Use of Primary Care Video Visits Among Veterans with VA Video-Enabled Tablets
In 2020, the U.S. Department of Veterans Affairs (VA) expanded an initiative to distribute video-enabled tablets to Vetera...
Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries
With the increasing need for timely submission of data to state and national public health registries, current manual appr...
An mHealth Application in German Health Care System: Importance of User Participation in the Development Process
An mHealth Application in German Health Care System: Importance of User Participation in the Development Process
This paper addresses the challenges and solutions in developing a holistic prevention mobile health application (mHealth a...
Artificial Intelligence in Operating Room Management
Artificial Intelligence in Operating Room Management
This systematic review examines the recent use of artificial intelligence, particularly machine learning, in the managemen...
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives
Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs) represent sophisticated models engine...
Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks
Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks
Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder Representations from T...
In-House Intraoperative Monitoring in Neurosurgery in England – Benefits and Challenges
In-House Intraoperative Monitoring in Neurosurgery in England – Benefits and Challenges
Intraoperative neurophysiological monitoring (IOM) is a valuable adjunct for neurosurgical operative techniques, and has b...
NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery
NeuroIGN: Explainable Multimodal Image-Guided System for Precise Brain Tumor Surgery
Precise neurosurgical guidance is critical for successful brain surgeries and plays a vital role in all phases of image-gu...
Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research
Knowledge, Perceptions and Attitude of Researchers Towards Using ChatGPT in Research
ChatGPT, a recently released chatbot from OpenAI, has found applications in various aspects of life, including academic re...
Leveraging Large Language Models for Clinical Abbreviation Disambiguation
Leveraging Large Language Models for Clinical Abbreviation Disambiguation
Clinical abbreviation disambiguation is a crucial task in the biomedical domain, as the accurate identification of the int...
Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Schizophrenia is a serious chronic mental disorder that significantly affects daily life. Electroencephalography (EEG), a ...
Virtual Reality for the Management of Pain and Anxiety in Patients Undergoing Implantation of Pacemaker or Implantable Cardioverter Defibrillator: A Randomized Study
Virtual Reality for the Management of Pain and Anxiety in Patients Undergoing Implantation of Pacemaker or Implantable Cardioverter Defibrillator: A Randomized Study
The Virtual Reality Headset (VRH) is a device aiming at improving patient’s comfort by reducing pain and anxiety dur...
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...
“ChatGPT, Can You Help Me Save My Child’s Life?” - Diagnostic Accuracy and Supportive Capabilities to Lay Rescuers by ChatGPT in Prehospital Basic Life Support and Paediatric Advanced Life Support Cases – An In-silico Analysis
“ChatGPT, Can You Help Me Save My Child’s Life?” - Diagnostic Accuracy and Supportive Capabilities to Lay Rescuers by ChatGPT in Prehospital Basic Life Support and Paediatric Advanced Life Support Cases – An In-silico Analysis
Paediatric emergencies are challenging for healthcare workers, first aiders, and parents waiting for emergency medical ser...
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...
A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty
A Retrospective Analysis Investigating Whether Case Volume Experience of the Anesthesiologist Correlates with Intraoperative Efficiency for Joint Arthroplasty
The objective of this retrospective study was to determine if there was an association between anesthesiology experience (...
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...
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