Medical Simulation TRIZ Cases
- UWB Vital Sign Simulation for Non-Contact Privacy Protection
A virtual vital sign is mixed with real data before UWB output, protecting privacy while preserving non-contact measurement.
- Pharyngeal Phenotyping in OSA Using Manometry and Machine Learning
High-resolution manometry features and machine learning predict collapse location and degree for objective OSA phenotyping.
- AI Prediction Models with LLM Input Flexibility and SHAP Explanations
This case combines an LLM with a medical prediction model to translate natural-language inputs and explain results with SHAP plots.
- Generative Network Models for Realistic Physiological Feature Data
Generative networks create realistic physiological feature data, reducing sample shortages and distribution mismatch in drug evaluation.
- Cardiac RF Ablation Control Using Blood Conductivity for Lesion Size
Impedance-based blood conductivity measurements adjust RF power and duration to control cardiac lesion size despite blood energy absorption.
- Ensemble GAN ECG Simulation for Disease-Specific Cardiovascular Signals
LSTM-GAN and DCGAN combine HRV patterns with cardiac morphology to scale realistic ECG data generation for disease detection.
- Orthodontic Appliance Design with Resilient Biasing for Tooth Movement
This orthodontic appliance uses virtual deformation and resilient biasing to guide teeth continuously with fewer adjustments and discomfort.
- AI Wearable Fit Matching for Remote Medical Device Selection
Patient measurements feed AI models that select wearable medical devices and flag adverse fits before shipment.
- Automated Medical Image Rendering with Precomputed Clinical Templates
Precomputed clinical templates support photorealistic medical rendering with less computation.
- Stacked EEG Ensemble Model for Rapid Large-Vessel Stroke Detection
Rolling EEG features and artifact removal support rapid large-vessel stroke prediction without manual analysis.
- Multi-Day Individualized T1D Model for CGM-Driven Insulin Decisions
Individualized glucose-insulin modeling captures CGM errors, missed boluses, and daily variability to test safer insulin strategies.
- Time-Window Attention LSTM for Irregular EHR Time Steps
Windowed cell-state aggregation helps TW-LSTM handle irregular EHR intervals while making important time periods easier to interpret.
- Anatomical Mapping Signal Processing for Automatic Scar Detection
This mapping engine analyzes catheter biometric data to distinguish scar tissue and improve anatomical mapping accuracy.
- Computational Latent Inhibition Testing for Psychotic Disorder Treatment
A non-invasive computational test measures latent inhibition and working memory to guide psychotic disorder diagnosis and therapy selection.
- Prefabricated Orthodontic Attachments for Faster Aligner Planning
Predetermined dental attachments enable flexible treatment plans while reducing extensive custom fabrication for orthodontic aligners.
- Sequential Binary Assignment Search for Quadratic-Time Biophysical Prediction
Iterative search replaces exponential assignment evaluation with quadratic-time biophysical response prediction from time series.
- Ultrasound Electrode Positioning on Organ Models Without Magnetic Sensors
Ultrasound and machine learning locate electrodes on organ models without magnetic sensors.
- Oral Cavity Teeth Models With Adjustable Drain Hole Placement
Scanned teeth data generates adjustable drain holes, improving placement accuracy, resin discharge, and printing time.
- AI Hydration Monitoring for Dialysis Fluid Management
Patient and treatment data support predictive hydration assessment and personalized dialysis plans to reduce fluid-related complications.
- Digital Dental Impression Analysis for Procedure Suitability
Real-time analysis detects gaps in digital dental impressions, guiding extra scans only when procedure criteria are unmet.
- Breast Cancer Risk Prediction Model Using Korean Cohort Data
A questionnaire-based model uses prospective Korean cohort factors to estimate breast cancer risk and identify high-risk groups.
- Pediatric IV Sotalol Dosing by Age and Creatinine Clearance
This case uses age-specific creatinine clearance to tailor IV or oral sotalol dosing for pediatric cardiovascular treatment.
- Portable Magnetic Resonance Imaging With Cloud-Based Data Processing
A lower-field portable MR suite separates scanning from cloud processing, enabling nurse-operated neuroimaging and diverse data collection.
- Patient-Specific Finite Element Models for Endovascular Treatment Planning
Model patient anatomy and device deployment to improve hemodynamic predictions.
- Blood Vessel Modeling With Flow Energy Comparison for Stenosis Assessment
Compare personalized and healthy vessel models to assess stenosis without invasive testing.
- Transparent Braces Planning With Adjacent-Tooth Movement Prediction
Predict adjacent-tooth effects in transparent braces plans to improve treatment accuracy.