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  • A POCT to Rapid Detect GBS with Highly Sensitivity
  • Breast Cancer Detection Using Smart Wearable Devices with Thermal Sensors
  • Biodegradable Biodevices: A Design Approach Based on Cellular Automaton
  • Machine Learning-Based Smart-Textile for COVID-19 Monitoring
  • Real-Time Stand-Up Evaluation Using Low-Cost Hardware
  • Sustainable Printed Electrodes for Energy Harvesting from Urine to Power IoT Sensor Nodes in Smart Diapers
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  • Bioinspired Design and Manufacturing Strategies for next Generation Medical Implants: Trends and Challenges
  • DKCDF: Dual-Kernel CNN with Dual Feature Fusion for Lung Cancer Detection
  • Dynamic Characteristic of the Pleural Cavity Pressure Sensor
  • RehabVisual: Adapting and Testing the Visuomotor Skills Stimulation Platform on Patients with Multiple Sclerosis
  • Development of an Affordable EMC Immunity Assessment Setup Using Direct Power Injection for Biosignals Instrumentation: Application to ECG Monitoring
  • Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients
  • Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line
  • Overall Additive Manufacturing of Capacitive Sensors Integrated into Textiles: A Preliminary Analysis on Contact Pressure Estimation
  • Development of a Machine Learning Based in-Home Physical Activity Monitoring System Using Wrist Actigraphy and Real-Time Location System
  • Additive Manufacturing of Nitinol for Smart Personalized Medical Devices: Current Capabilities and Challenges
  • Numerical Modelling and Simulation of a Lab-on-a-Chip for Blood Cells’ Optical Analysis
  • Experimental Flow Studies in PDMS Intracranial Aneurysms Manufactured by Two Different Techniques
  • Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application
  • Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
  • 3D Nuclei Segmentation by Combining GAN Based Image Synthesis and Existing 3D Manual Annotations
  • Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning
  • Characterization and Quantification of Image Quality in CT Imaging Systems: A Phantom Study
  • Mutually Exclusive Multi-Modal Approach for Parkinson’s Disease Classification
  • Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights
  • Performance Review of Retraining and Transfer Learning of DeLTA2 for Image Segmentation for Pseudomonas Fluorescens SBW25
  • Unsupervised Domain Adaptation for Medical Images with an Improved Combination of Losses
  • Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
  • Bone-Aware Generative Adversarial Network with Supervised Attention Mechanism for MRI-Based Pseudo-CT Synthesis
  • Influence of Arterial Occlusion at Various Cuff Pressures on Systemic Circulation Measured by rPPG
  • Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification
  • Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
  • Agent Simulation Using Path Telemetry for Modeling COVID-19 Workplace Hazard and Risk
  • Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response
  • USTAR2: Fast and Succinct Representation of k-mer Sets Using De Bruijn Graphs
  • Compositional Techniques for Asynchronous Boolean Networks
  • Deep Learning in Breast Calcifications Classification: Analysis of Cross-Database Knowledge Transferability
  • Modeling iPSC-Derived Endothelial Cell Transition in Tumor Angiogenesis Using Petri Nets
  • Evaluating the Performance of Protein Structure Prediction in Detecting Structural Changes of Pathogenic Nonsynonymous Single Nucleotide Variants
  • Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network
  • Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis
  • Predictive Biomarkers in PD-1/PD-L1 Immunotherapy Response: A Machine Learning Approach Using Gene Sequencing Data
  • Assembling Close Strains in Metagenome Assemblies Using Discrete Optimization
  • Ki67 Expression Classification from HE Images with Semi-Automated Computer-Generated Annotations
  • Computational Modeling of Arterial Walls: Evaluating Model Complexity and the Influence of Model Parameters on Deformation Outcomes
  • Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
  • Particle and Cell Cluster Separation Based on Inertial Effects in Rectangular Serpentine Channels
  • Biologically-Informed Shallow Classification Learning Integrating Pathway Knowledge
  • The Interactive Network Visualization of the Interactions Between Topologically Associating Domains in the Genome of Fruit Fly
  • Deep Learning in Digital Breast Pathology
  • Formal Analysis of Uncertain Continuous Markov Chains in Systems Biology
  • SMT: A High-Performance Approach for Counting Kmers
  • Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization
  • Classification of Fine-ADL Using sEMG Signals Under Different Measurement Conditions
  • A Hierarchical Framework for Apnea Detection and Respiration Pace Assessment Using Seismocardiogram Signals
  • Predicting the Level of Co-Activation of One Muscle Head from the Other Muscle Head of the Biceps Brachii Muscle by Linear Regression and Shallow Feedforward Neural Networks
  • Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation
  • Fusion of Machine Learning and Threshold-Based Approaches for Fall Detection in Healthcare Using Inertial Sensors
  • Centrality of the Fingerprint Core Location
  • Mapping Seismocardiogram Characteristics to Hemorrhage Status and Vascular Pressure: A Novel Approach for Triage Assessment
  • Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN
  • Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans
  • An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment
  • Preliminary Results on the Evaluation of Different Feedback Methods for the Operation of a Muscle-Controlled Serious Game
  • A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting
  • Improved PID Control Based on Temperature Compensation for the Incubation Plate of Chemiluminescent Immunoassay Analyzer
  • Modelling Physiological Sensor Noise to Movement-Based Virtual Reality Activities
  • Gait Parameter Estimation from a Single Privacy Preserving Depth Sensor
  • Associating Endpoint Accuracy and Similarity of Muscle Synergies
  • Integrated Driver Pose Estimation for Autonomous Driving
  • Assessing Emotion-Induced Variations of Event-Related Potentials and Heart Rate During Affective Picture Processing
  • Contactless Camera-Based Detection of Oxygen Desaturation Events and ODI Estimation During Sleep in SAS Patients
  • Cramer-Rao Bound for Dipole Source Localization in Infants Using Realistic Geometry
  • Performance Comparison of Gyrocardiogram and Seismocardiogram Signals in Valvular Heart Disease Assessment
  • A New Algorithm for Innervation Zone Estimation Using Surface Electromyography: A Simulation Study Based on a Simulator for Continuous sEMGs
  • A Word Recognition Paradigm Through EEG Analysis: Imagined Speech Classification
  • Estimating Skull Thickness of Neonates Using Magnetic Resonance Imaging
  • ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification
  • Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device
  • Wavelet Based Feature Extraction for Multi-Model Ensemble Approach for Mental Workload Classification Using EEG
  • Really Can't Hold On Anymore? Physiological Indicators Versus Self-Reported Motivation Drop During Jogging
  • Promote Competency-Based Training Approach in Quality, Regulatory and Clinical Affairs to Improve MD/IVDD Safety and Performance
  • Clinical Evaluation of Collaborative Artificial Intelligence Systems: Lessons from the Case of Robot-Assisted Surgery
  • A Skill based Educational Program for Future Regulatory Affairs Professionals in the Medical Devices Industry: A Top down Approach at Polytech Lyon University, France
  • An Example of Personalized Pathway in Medical Device Evaluation for a Master Student in Clinical Research
  • Use of a Digital Positioning and Categorisation Aid for Clinical Investigations on Medical Devices: Questioning the Complexity of the Field and Harmonizing Stakeholders' Understanding
  • ReScore Disease Groups Based on Multiple Machine Learnings Utilizing the Grouping-Scoring-Modeling Approach
  • Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications
  • Modeling Intestinal Glucose Absorption from D-Xylose Data
  • Hand Movement Recognition Based on Fusion of Myography Signals
  • Behind the Lens: Exploring UV Reflection
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  • Prototyping a Low-Cost Flexible Sensor Glove for Diagnostics and Rehabilitation
  • Feature Selection Improves Speech Based Parkinson's Disease Detection Performance
  • Neuromotor Pattern of the Upper Limb in Hygiene Activities Using Electromyography and Accelerometery Technology
  • Generation of H&E-Stained Histopathological Images Conditioned on Ki67 Index Using StyleGAN Model
  • Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation
  • Spatial-Temporal Visualization Tool for Hospital Support for Infection Spread and Outbreaks
  • Predictive Models of Ward Admissions from the Emergency Department
  • A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
  • Decoding Autism Diagnosis: A Journey Towards Transparency with XAI in ML Models
  • Evaluating Synthetic Data Generation Techniques for Medical Dataset
  • Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections
  • Identification of Patient Ventilator Asynchrony in Physiological Data Through Integrating Machine-Learning
  • GAN-Based Data Augmentation for Improving Biometric Authentication Using CWT Images of Blood Flow Sounds
  • Comparision Through Architectures of Semantic Segmentation in Breast Ultrasound Images Across Differents Input Data Dimensions
  • Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic
  • Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents
  • Triadic Rules for Analysis of Productive and Well-Being Social in Activity-Based Working Environments
  • An Android App for Training New Doctors in Mechanical Ventilation
  • Design and Implementation of a Software System for Surveillance of Antibiotics Concentrations in Wastewater
  • Comparison of Different Data Augmentation Techniques for Improving Epileptic Seizure Detection Based on 3D Acceleration, Heart Rate and Temperature Data
  • Sequential Networks for Predicting the Clinical Risk of Chronic Patients Using Drug Dispensation
  • Leveraging Health Informatics to Enhance Outpatient Chemotherapy Operations Management
  • Leveraging Artificial Intelligence for Improved Hematologic Cancer Care: Early Diagnosis and Complications’ Prediction
  • Unpacking the Clinical Burden of Leukemia in GCC: Implications for Patient Care
  • Apnea Hypopnea Index Estimation from Low-Granularity Overnight Oxymetry Data
  • e-Consent in Biomedical Research Registries: A GDPR-Compliant Approach Explored in the Context of the Australasian Diabetes Data Network
  • Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining
  • Bed Management System Implementation: Experimental Study
  • Using Data Mining Techniques to Understand Patterns of Suicide and Reattempt Rates in Southern Brazil
  • Machine Learning-Based Qualitative Analysis of Human Gait Through Video Features
  • Unleashing the Potential of Reinforcement Learning for Personalizing Behavioral Transformations with Digital Therapeutics: A Systematic Literature Review
  • Hyperparameter Optimization Using Genetic Algorithm for Extracting Social Determinants of Health Text
  • Evaluation of "Speech System" and "Skill": An Interaction Paradigm for Speech Therapy
  • Monitoring Pain in Patients with Chronic Pain with a Wearable Wristband in Daily Life: A Pilot Study
  • The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns
  • Application of Formal Concept Analysis to Characterize Driving Behaviors and Socio-Cultural Factors Related to Driving
  • Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
  • i-SART: An Intelligent Assistant for Safety Analysis in Radiation Therapy
  • Melanoma Classification Through Deep Ensemble Learning and Explainable AI
  • Perceptions of Humanoid Robots in Caregiving: A Study of Skilled Nursing Home and Long Term Care Administrators
  • Enhancing Summarization Performance Through Transformer-Based Prompt Engineering in Automated Medical Reporting
  • Setting a PACS on FHIR
  • Strategic Oversight Across Real-World Health Data Initiatives in a Complex Health Data Space: A Call for Collective Responsibility
  • Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
  • Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
  • Automatic Scoring of Shulman's Clock Drawing Dementia Test
  • Augmentation of Motor Imagery Data for Brain-Controlled Robot-Assisted Rehabilitation
  • Antibiotic Prescriptions Before, During and after the Corona Pandemic in Schleswig-Holstein with Prescription Data from 2017 till 2023
  • Chatting for Change: Insights into and Directions for Using Online Peer Support Groups to Interrupt Prolonged Workplace Sitting
  • A Survey on Usability Evaluation in Digital Health and Potential Efficiency Issues
  • Technology Support System and Review Process for a Decentralized Clinical Trial: Trials@Home, RADIAL DCT as Case Study
  • Prediction of Heart Disease Severity Using Hierarchically-Structured Machine-Learning Models with Feature Space Reduction
  • Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review
  • Observational Study of a Digital Application to Detect Attachment in Dyads Using Markov Chains
  • A Type of EEG-ITNet for Motor Imagery EEG Signal Classification
  • Towards Using Synthetic User Interaction Data in Digital Healthcare Usability Evaluation
  • Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales
  • Evaluation of the Role of the Informatician after Changes in the Legislative Landscape of Women’s Reproductive Health
  • Evaluating the Viability of Neural Networks for Analysing Electromyography Data in Home Rehabilitation: Estimating Foot Progression Angle
  • Architectural Design for Enhancing Remote Patient Monitoring in Heart Failure: A Case Study of the RETENTION Project
  • Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors
  • Evaluating Movement and Device-Specific DeepConvLSTM Performance in Wearable-Based Human Activity Recognition
  • Naïve Bayes as a Probabilistic Tool for Monitoring the Health Status of Chronic Patients
  • Exploring the Power of Triple Crown Process Modeling in Healthcare: Sepsis Case
  • Segmentation and Classification of Dental Caries in Cone Beam Tomography Images Using Machine Learning and Image Processing
  • Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review
  • Quantified Health: A Feasibility Study on a Sensor-Based Feedback and Assistance System in Cardiology, Oncology and Orthopaedics
  • Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression
  • Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction
  • Improving Self-Report Diaries: A Respondent-Centric Design Approach
  • Safeguarding Ethical AI: Detecting Potentially Sensitive Data Re-Identification and Generation of Misleading or Abusive Content from Quantized Large Language Models
  • 2ViTA-B Cognitive: A Virtual Assistant for Cognitive Rehabilitation
  • Counting Red Blood Cells in Thin Blood Films: A Comparative Study
  • Business Intelligence Enhancements to EDC for Clinical Trial Management
  • Covid-19 Impact on Standard Coding Systems Update
  • Investigations on Anger Experience with Other Basic Emotions Using Affective Ising Model
  • An Empirical Analysis of Undergraduate Information Systems Security Behaviors
  • Image and Text Feature Based Multimodal Learning for Multi-Label Classification of Radiology Images in Biomedical Literature
  • Answering the Call to Go Beyond Accuracy: An Online Tool for the Multidimensional Assessment of Decision Support Systems
  • Bridging Gaps in Fracture Rehabilitation: A Mobile Solution Proposal for Comprehensive Recovery
  • Towards Inclusive Digital Health: An Architecture to Extract Health Information from Patients with Low-Resource Language
  • A Concept for Daily Assessments During Nutrition Intake: Integrating Technology in the Nursing Process
  • SynthCheck: A Dashboard for Synthetic Data Quality Assessment
  • Android App for Symptomatic Monitoring of Cervical Dystonia: Design and Usability Study
  • Automated Medical Text Simplification for Enhanced Patient Access
  • Evaluation of the Performance of Wearables’ Inertial Sensors for the Diagnosis of Resting Tremor in Parkinson’s Disease
  • Are End-Users Participating in the Life Cycle of Healthcare Application Development? An Analysis of the Opportunities and Challenges of the Use of HCI Techniques in the Healthcare Sector
  • Investigating the Impact of Ventilator Bundle Compliance Rates on Predicting ICU Patients with Risk for Hospital-Acquired Ventilator-Associated Pneumonia Infection in Saudi Arabia
  • Creative Coding for Dance Movement Therapy in Children with Autism
  • Com@Rehab: An Interactive and Personalised Rehabilitation Activity Based on Virtual Reality
  • P2DS: A Holistic Approach to Psychiatric Disease Detection in Community Pharmacies
  • How the Health Insurance Industry Is Uniquely Positioned to Implement Digital Health Interventions and Preventative Care Measures
  • Advocating for Harnessing the Power of Ecosystems in Healthcare: The Case of an Ecosystem in the Realm of Parkinson’s Disease - A Position Paper
  • Transforming NCD Business Models in Switzerland: CSS Insurance Perspective
  • What Needs to Change to Make Digital Health Successful? The Perspective of the Austrian Healthcare Provider Mavienext
  • Navigating Germany’s Digital Health Ecosystem: Insights from a Health Insurance Industry Expert
  • Harmonizing Innovation and Regulation: Swiss Health Insurance Navigates Digital Health Technologies for Enhanced Patient Engagement
  • Aligning Strategies: How Digital Health Technologies Are Used by a Swiss Insurance Company to Foster a Sustainable Healthcare Landscape
  • Implications and Perceptions of Digital Health Technologies: A Multiple Case Study on the Payers’ Viewpoint
  • Unlocking the Potential of Digital Health Technologies: The Role of Health Insurance Companies in Shaping the Digital Healthcare Ecosystem
  • Reimagining Preventive Care and Digital Health: A Paradigm Shift in a Health Insurance’s Role
  • A Systematic Analysis of Depression-Related Discourse Within Facebook: A Comparison Between Brazilian and American Communities
  • The Three Worlds of MRI
  • Aggregating Predicted Individual Hospital Length of Stay to Predict Bed Occupancy for Hospitals
  • Exploring the Design of Low-End Technology to Increase Patient Connectivity to Electronic Health Records
  • Learning on Forecasting HIV Epidemic Based on Individuals' Contact Networks
  • The Beyond 5G (B5G) Era of Next-Generation Digital Networks: Preliminary Study of a Task-Technology Fit (TTF) Model for Remote Robotic Surgery Applications
  • Characterization of Telemedicine Patients to Discover Patient Journeys Using Process Mining
  • Evaluation of Orthogonal Vector Projection Method in ST Algorithm for Generating Differential Diagnoses of Chest Pain: A Pilot Study