Medical Simulation TRIZ Cases
- Virtual Catheter Flow Mapping for Noninvasive Hemodynamic Assessment
Computes quantitative flow maps from medical images using a virtual catheter volume to replicate invasive measurement capabilities.
- Model Deconstruction and Transfer Platform for Healthcare Prediction Models
A Model Deconstruction and Transfer platform generates prediction models using local variable libraries without transferring patient identifiers.
- Computational Infant Skin Model for Surfactant Mildness Prediction
A computational model predicts infant skin barrier impact from adult marker penetration data using a 0.4 scaling factor.
- Distributed AI Training for Medical Imaging Offline Diagnosis
Local AI systems extract image parameters to enable offline medical diagnosis, reducing diagnostic time lags in remote locations.
- Orthodontic Treatment Planning Software for Tooth Positioning
A software modeling tool manipulates digital tooth images in six degrees of freedom to simulate precise orthodontic movements.
- Catheter Complication Risk Scoring via Similar Case Retrieval
Information processing device calculates complication scores from medical data to identify at-risk conditions during catheter treatment.
- Virtual Brain Model for Epileptogenic Zone Estimation
A virtual brain model simulates seizure propagation to estimate the epileptogenic zone location using non-invasive neuroimaging data.
- Neural Implant Signal Processing for Naturalistic Cochlear Timing
Recurrent neural networks transform input signals into naturalistic firing patterns, reducing processing time by 300 times to enable real-time pitch perception.
- Non-Invasive Blood Glucose Estimation via Time Series Analysis
Time series analysis predicts blood glucose levels from physiological parameters, resolving delays between parameter changes and actual glucose fluctuations.
- Lung Function Quantification via Gas Washout Modeling
A parameterized lung model fits high-resolution respiratory gas data to quantify inhomogeneity across multiple alveolar compartments.
- Hemodynamic Compromise Prediction via Virtual Implant Deployment
A computational system predicts hemodynamic compromise by virtually deploying implant models into patient-specific anatomical structures.
- Desynchronizing Neural Oscillations via Angular Stimulation
Transcranial electrical stimulation targets cortical subsets by angular alignment to disrupt pathological brain oscillations.
- Intra-operative Feedback for Orthopaedic Implant Alignment
A hand-held scanner captures bone surface data and compares it against the surgical plan, enabling precise implant orientation without patient repositioning.
- Dynamic Model Selection for Brain Connectivity Clustering
Grouping brain connectivity matrices by subject traits reduces image clutter, enabling neurosurgeons to identify specific neural tracts with higher precision.
- Virtual Electrode Visualization for Dynamic Cardiac Mapping
Virtual electrodes superimpose physiological data on electroanatomic maps, resolving static map limitations and enabling real-time procedural planning.
- Dynamic Angiographic Imaging for Non-Invasive FFR Assessment
A computer implemented method generates time-enhancement curves from contrast agent phases to determine blood flow characteristics in coronary vessels.
- Medical Tube Placement Visualization via Graphical Markers
Automated image processing detects medical tube endpoints and overlays color-coded markers to resolve manual measurement delays.
- Dental Data Planning System for Scan Validation
A computer-implemented user interface system determines necessary scanning steps and displays them to the operator.
- Anatomical Data Generation for Osteoarthritis Joint Prediction
Processing system predicts joint conditions to resolve manufacturing precision trade-offs.
- Diagnostic Model Generation for Heart Conditions
Processor analyzes image features to compile diagnostic models, replacing subjective classification with automated scoring.
- Knowledge Graph Decision Support for Chronic Kidney Disease Diagnosis
A knowledge graph system maps heterogeneous electronic medical records into a unified patient model for clinical decision support.
- 4D-Flow MRI Processing for Unsteady Blood Flow Quantification
Processes 4D-Flow MRI data into vector fields to quantify unsteady blood flow pressure drops without chemical contrast agents.
- AI Drug Dosage Recommendation via Neural Network Simulation
An artificial neural network calculates optimal drug dosages using patient-specific data to maintain diagnostic values within target ranges.
- AI Digital Twin Health Monitoring with Blockchain Rewards
Blockchain secures user data while AI analyzes inputs to generate personalized recommendations and community insights.
- Patient-Specific Macular Indentor for Stable Retinal Placement
Customized geometry matches eye curvature to resolve placement accuracy issues caused by variable anatomical shapes.
- TMS Coil Pose Atlas Generation via Electromagnetic Simulation
A TMS coil pose atlas maps individual brain spaces to optimal stimulation positions using finite element electromagnetic simulations.
- Myocardial Ischemia Severity Estimation via Hemodynamic Parameters
A hemodynamic module estimates cardiac pressure-volume loop variables from single lead ECG templates to determine myocardial ischemia severity.
- Insulin Dosing via Macronutrient Profile Analysis
Macronutrient profile analysis resolves suboptimal dosing for high-fat meals by segmenting insulin delivery into immediate and extended phases.
- Joint Functioning Analysis via Biomechanical Simulation Multimedia
A computer-accessible medium integrates biomechanical simulation results into a multimedia object for standard playback.
- Monte Carlo Influence Matrix Generation for Radiation Therapy
Precomputing particle tracks reduces computation time while maintaining dose calculation precision for radiation treatment optimization.
- Biosensor Data Validation via Robotic Mimic Replication
A robotic mimic replicates subject physiology to generate reference data, correcting software-induced deviations in consumer biosensors.
- Dental Prosthesis Surface Manipulation Interface
Interface defines overlapping surface areas to add or subtract uniform layers up to a predefined limit, maintaining crown contour stability.
- Patient-Specific Spinal Implant Planning via Ligament Constraint Modeling
Automated analysis of posterior longitudinal ligament length and elasticity determines maximum correction levels for safe vertebrae modifications.
- Biological Simulation Model for Endocrine Diagnosis
A biological simulation model calculates indexes from blood data to evaluate physiological functioning.
- Unsupervised Medical Data Analysis via Adversarial Multi-Encoder
An adversarial generative neural network with multi-encoders detects medical data anomalies without labeled training sets.
- Ex Vivo Perfused Human Organ Drug Testing
Perfused human organs bridge the gap between in vitro and in vivo testing to accurately predict toxicity.
- Reconstructing Brain-Wide Neural Activity from Local ECoG
A recurrent neural network virtually reconstructs brain-wide neural activity from local electrophysiological recordings.
- Vascular Refill Estimation via Two-Compartment Model
A two-compartment model estimates vascular refill dynamics from blood measurements.
- Wireless Intraoral Scanning with Shared Processing
A distributed intraoral scanning system uses wireless links to connect mobile scanners to a central computing device for real-time 3D model generation.
- Orthodontic Aligner Simulation via Finite Element Analysis
Finite element analysis of periodontal ligaments calculates tooth rotation to eliminate trial-and-error adjustments.
- Patient-Specific Treatment Program Determination via Disease Trajectory Modeling
A processing system determines individualized treatment programs by analyzing subject data against condition models to generate progression trajectories.
- CT Image Rotation for Airway Pathway Planning
Rotating CT images about predefined axes helps identify airways, resolving orientation accuracy issues in small bronchial structures.
- Glycemic State Prediction Using Hidden Markov Models
A medical device predicts future glycemic states using continuous glucose monitor data and mathematical models.
- Neural Network Health Event Prediction and Missing Data Identification
Neural networks analyze embedded health event sequences to identify missing records, resolving prediction accuracy versus system complexity trade-offs.
- Personalized Dosing Algorithm for Pediatric Thyroid Treatment
Computational system calculates individual dosing regimens using empirical Bayesian estimation and optimal control algorithms.
- Health Condition Prediction via Data View Segmentation
Segmenting health parameters into distinct data views reduces processing complexity while improving classification accuracy.
- Computational Hemodynamic Model for Non-Invasive Coronary Diagnosis
A pharmacokinetic model estimates hyperemic coronary flow from resting pressure data.
- Bioinformation Estimation Model Update via In Vivo Spectra
An apparatus updates bio-information estimation models using in vivo spectra measured by a spectrometer.