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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...
Application of the Stanford Biodesign Framework in Healthcare Innovation Training and Commercialization of Market Appropriate Products: A Scoping Review
Application of the Stanford Biodesign Framework in Healthcare Innovation Training and Commercialization of Market Appropriate Products: A Scoping Review
The Stanford Biodesign needs-centric framework can guide healthcare innovators to successfully adopt the ‘Identify, ...
Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators – A Simulation-Based Randomised Controlled Study
Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators – A Simulation-Based Randomised Controlled Study
Wrong dose calculation medication errors are widespread in pediatric patients mainly due to weight-based dosing. PediPain ...
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...
Variations of the Relative Parasympathetic Tone Assessed by ANI During Oocyte Retrieval Under Local Anaesthesia with Virtual Reality : A Randomized, Controlled, Monocentric, Open Study
Variations of the Relative Parasympathetic Tone Assessed by ANI During Oocyte Retrieval Under Local Anaesthesia with Virtual Reality : A Randomized, Controlled, Monocentric, Open Study
Transvaginal oocyte retrieval is an outpatient procedure performed under local anaesthesia. Hypno-analgesia could be effec...
Responses of Five Different Artificial Intelligence Chatbots to the Top Searched Queries About Erectile Dysfunction: A Comparative Analysis
Responses of Five Different Artificial Intelligence Chatbots to the Top Searched Queries About Erectile Dysfunction: A Comparative Analysis
The aim of the study is to evaluate and compare the quality and readability of responses generated by five differ...
CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
Computed tomography perfusion (CTP) is a dynamic 4-dimensional imaging technique (3-dimensional volumes captured over appr...
A Graphical Interface to Support Low-Flow Volatile Anesthesia: Implications for Patient Safety, Teaching, and Design of Anesthesia Information Management Systems
A Graphical Interface to Support Low-Flow Volatile Anesthesia: Implications for Patient Safety, Teaching, and Design of Anesthesia Information Management Systems
Simpao, A. F., Rehman, M. A., Anesthesia information management systems. Anesth. Analg. 127(1):90–94, 2018. https://doi.or...
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...
Effectiveness of Implementing Modified Early Warning System and Rapid Response Team for General Ward Inpatients
Effectiveness of Implementing Modified Early Warning System and Rapid Response Team for General Ward Inpatients
This retrospective study assessed the effectiveness and impact of implementing a Modified Early Warning System (MEWS) and ...
Secure Cloud-Based Electronic Health Records: Cross-Patient Block-Level Deduplication with Blockchain Auditing
Secure Cloud-Based Electronic Health Records: Cross-Patient Block-Level Deduplication with Blockchain Auditing
In today's data-driven world, the exponential growth of digital information poses significant challenges in data manag...
Assessing the Efficacy of a Novel Massive Open Online Soft Skills Course for South Asian Healthcare Professionals
Assessing the Efficacy of a Novel Massive Open Online Soft Skills Course for South Asian Healthcare Professionals
In healthcare professions, soft skills contribute to critical thinking, decision-making, and patient-centered care. While ...
Effects of Intra-operative Cardiopulmonary Variability On Post-operative Pulmonary Complications in Major Non-cardiac Surgery: A Retrospective Cohort Study
Effects of Intra-operative Cardiopulmonary Variability On Post-operative Pulmonary Complications in Major Non-cardiac Surgery: A Retrospective Cohort Study
Intraoperative cardiopulmonary variables are well-known predictors of postoperative pulmonary complications (PPC), traditi...
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients  with Multiple Myeloma using Whole-body MRI
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients  with Multiple Myeloma using Whole-body MRI
Although magnetic resonance imaging (MRI) data of patients with multiple myeloma (MM) are used to predict prognosis, few r...
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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