VitoCheck EIT platform predicts standard diagnostics for cardiopulmonary and metabolic diseases

This cohort study in community settings evaluated the VitoCheck compact electrical impedance tomography platform for predicting standard diagnostic metrics. The population included clinical cohorts with chronic cardiopulmonary, metabolic, and renal diseases. The intervention was the VitoCheck platform, and the comparator was standard diagnostic metrics including spirometry, echocardiography, ultrasound, and blood serum tests.

The main results showed accurate EIT-based predictions of spirometry-derived forced expiratory volumes for lung function, echocardiography-derived ejection fraction for heart function, ultrasound-derived liver fat scores for liver function, and blood serum-derived kidney filtration for kidney function. No effect sizes, absolute numbers, p-values, or confidence intervals were reported for these outcomes.

Safety and tolerability were not reported, including adverse events, serious adverse events, and discontinuations. Key limitations include that system stability, spatial specificity, and spectral sensitivity were demonstrated only through controlled phantom studies.

Practice relevance includes enabling scalable screening and proactive disease management for use in remote and out-of-clinic care. The evidence is preliminary and based on observational cohort data without reported quantitative performance metrics.