Medical Simulation TRIZ Cases
- Prostate Cancer Recurrence Prediction Using Multi-Region Nuclear Features
Machine learning classifiers analyze nuclear morphology from tumor and benign regions to predict biochemical recurrence.
- Predictive Mental Health System Using AI for Real-Time Student Monitoring
A predictive model analyzes user data to determine mental state categories and deliver personalized gamification applications.
- Coronary Stenosis Detection via Pressure Drop Analysis
A processor-based system detects coronary stenosis by analyzing segmented image patches and pressure drop distributions along vessel paths.
- Glucose Monitoring Latency Compensation via Interstitial Signal Analysis
A glucose monitoring system estimates blood plasma concentrations using interstitial fluid sensor signals and rate of change data.
- Non-Gaussian Energy Distribution Modeling for Particle Therapy
Replacing Gaussian assumptions with composite error functions corrects depth dose inaccuracies in low-energy particle therapy treatment planning.
- CGM-Based Hypoglycemia Prevention System With Dynamic Insulin Attenuation
A CGM-based prevention system computes a risk factor to dynamically adjust insulin delivery rates.
- Multi-level Machine Learning Algorithm for Cardiac Fitness Assessment
Multi-level processing algorithm segments complex diagnostic tasks into specialized neural network models to assess cardiovascular fitness accurately.
- Multidisciplinary Feeding Disorder Treatment Protocol
Structured four-phase treatment protocol coordinates medical and behavioral specialists to improve oral intake in children.
- Respiratory Droplet Simulation via Internal Event Initiation
Internal event initiation within modeled respiratory tract eliminates artificial turbulence requirements, improving dispersion accuracy.
- Patient-Specific Contrast Impulse Response Determination
Fitting simulated test bolus functions to patient data determines the contrast medium impulse response without requiring complete high-resolution measurements.
- QT Interval Instability Detection for Arrhythmia Prediction
Automated algorithms analyze QT interval dynamics to detect instabilities, replacing invasive pacing procedures with non-invasive computational assessment.
- In Silico Intervertebral Disc Model for Pathophysiology Simulation
A computational system simulates intervertebral disc pathophysiology using biophysical models and anatomical data.
- CNN and GAN Synthesis of Multi-Modality MRI Images
Convolutional neural networks simulate second-modality MRI images from single scans, eliminating lengthy multi-sequence acquisition times.
- Peritoneal Dialysis Control Device Using Transport Model
A control device configures dialysis parameters using a mathematical transport model based on patient-specific peritoneal properties.
- Signal Processing System for Multi-Sensor Correlation
A signal processing system converts temporal sensor data into asynchronous event signals to identify correlations among multiple independent inputs.
- Microbiome-Based Diagnostic and Therapeutic System for Endocrine Conditions
A microbiome-based diagnostic system characterizes endocrine conditions using composition datasets to generate personalized therapy models.
- Digital Twin for Pelvic Floor Diagnosis and Treatment
Machine learning analyzes imaging data to create personalized treatment plans, resolving diagnostic accuracy versus examination complexity.
- Single-Well Pumping-Injection Model for Groundwater Pollutant Control
A pumping-injection three-stage solute transport model simulates groundwater pollutant distribution using hydraulic and water quality parameters.
- Permanent Magnet Localization in Invasive Catheters
External 3D magnetometer arrays detect permanent magnets on invasive devices to achieve sub-millimeter accuracy without ionizing radiation exposure.
- Peritoneal Dialysis Pressure Control via Time-Windowed Withdrawal
A dialysis system monitors intraperitoneal pressure to control fluid withdrawal timing.
- 3D Lung Navigation Pathway Planning with Risk Assessment
A 3D lung navigation system calculates optimal access paths for minimally invasive procedures.
- Ossification Center Detection Using Machine Learning Models
Automated ossification center detection eliminates manual observer variation and reduces assessment time for accurate bone age estimation.
- Clinical Decision Support System for Therapy Ranking
A clinical decision support system ranks therapies by matching patient profiles to trial inclusion criteria.
- Continuous Glucose Sensor Signal Processing for Dilution Artifact Compensation
Forecasting models and Kalman filters estimate true analyte concentrations, compensating for dilution artifacts caused by nearby insulin delivery.
- Personalized Diabetes Management System Using Dynamic Feedback
Computerized system analyzes patient-specific metabolic data to determine optimal insulin delivery and glucose management.
- Noninvasive Blood Pressure Monitoring via Photoplethysmography and Compensatory Reserve Index
A noninvasive monitoring system analyzes photoplethysmograph waveforms to estimate blood pressure values.
- Gait Analysis via Keypoint Trajectories and Neural Networks
Motion evaluation system extracts keypoint trajectories from video to predict clinical gait scores using convolutional neural networks.
- Autonomous Infusion Pump Buffer Memory Segmentation
Segmenting control into autonomous local processors prevents data overload and processor shutdowns during complex multi-channel infusions.
- Stress Balance Instruction Set Generation via Machine Learning
Computing device calculates user stress scores using machine learning models to generate personalized instruction sets.
- Intrabody Probe Shape Reconstruction Using Crossing Electromagnetic Fields
A transformation algorithm converts intrabody electromagnetic measurements into geometric positions for accurate 3D shape reconstruction.
- Colon Polyp Diagnosis Using Microbial Feature Selection
A diagnostic apparatus analyzes gut microbiome mixtures to extract specific microbial features for machine learning training.
- Preeclampsia Risk Prediction Using Gestational Weight Gain Modeling
A gestational weight gain prediction model generates future weight data to improve preeclampsia risk assessment accuracy.
- Medical Navigation System Registration Using Projected Fiducial Markers
Projected fiducial markers replace physical placement to eliminate deformation errors and registration loss during surgical procedures.
- Virtual Patient Model for CT Imaging Alignment
Multi-directional imaging creates a 3D digital twin that aligns with medical apparatuses, eliminating manual measurement steps.
- Adaptive Diabetes Management System with Context-Aware Reminders
A diabetes management system uses AI to determine optimal reminder times based on user behavior patterns and location data.
- Personalizing Blood Flow Simulations with Invasive Measurements
A personalized computational blood flow model uses invasive physiological measurements to estimate hemodynamic quantities.
- 3D Radiotherapy Dose Prediction Using Machine Learning
Machine learning predicts 3D dose distribution to reduce healthy tissue exposure during radiotherapy planning.
- Digital 3D Tooth Shade Detection Using Texture Data
Automated digital imaging replaces manual visual comparison to eliminate time consumption and inaccuracy in determining tooth shade values.
- Configurable Timeline GUI for Clinical Data Context
A configurable timeline interface displays clinical diagnoses and diagnostic parameters across varying screen sizes.
- Sepsis Detection Using Systolic Blood Pressure and Monocyte Distribution Width
Merging systolic blood pressure with monocyte distribution width resolves low sensitivity in traditional criteria for earlier sepsis diagnosis.
- Wearable Myopia Risk Indicator Using Central Peripheral Distance Sensors
A wearable device measures distances in central and peripheral vision zones to calculate a myopia risk indicator.
- Aortic Aneurysm Growth Prediction via Geometric Analysis
Analyzes volumetric aortic geometry to predict growth rate, reducing rupture risk from inaccurate size-based thresholds.
- Computer-Assisted Subchondral Injection with Patient-Specific Jigs
Computer-assisted modeling calculates filler volume and guides patient-specific jigs to prevent overflow during subchondral injection.
- Center of Resistance Calculation Using 3D Periodontal Ligament Models
A 3D resistance model determines tooth center of resistance using periodontal ligament volume integration for precise orthodontic planning.
- X-ray Implant Positioning Feedback via Image Feature Analysis
Automated image feature analysis guides subject positioning relative to the imaging device, resolving diagnostic quality issues caused by misalignment.