Medical Simulation TRIZ Cases

Machine learning models evaluate acoustic features in cough signals to detect dysphagia early, preventing pneumonia complications.

Brain network activity pattern analysis assesses labor pain likelihood by comparing extracted features to baselines, reducing drug side effects.

A closed loop control system dynamically adjusts insulin delivery rates based on real-time analyte sensor data.

Positioning transducer arrays on the head vertex and chest generates electric fields exceeding 1 V/cm in the neck region.

A risk-based patient monitoring system combines heterogeneous physiological data to estimate internal state variables and probable clinical states.

A computer-implemented method analyzes electronic 3D dental models to generate objective occlusion scores.

Adapts an elastic model to track cardiac tissue shifts, correlating mechanical deformation with electrical activity to identify arrhythmia sources.

A machine learning model generates predicted post-treatment images from pre-treatment data and treatment plans.

Strain Encoded imaging sequences measure segmental contractility to reduce scan duration and motion artifacts during cardiac evaluation.

Automated portable video EEG system tracks patients and detects obstructions to ensure complete seizure data recording without manual intervention.

Segmenting the biological system into a ten-gene signature enables personalized radiation dose selection by predicting patient response before therapy begins.

A medical communication protocol translator converts input messages between different HL7 formats using defined translation rules.