Screening a single patient is complex and can take hours consequently
miss early diagnosis
miss timely and accurate visits
receive the wrong therapy
Medlea fosters evidence-based results so that human error does not get in the way of saving lives
Detailed functional state for improved quality and coverage of care with Active Learning
How the workflow operates
Multimodal clinical and radiological data are processed and timestamped
Lungs are reconstructed in three dimensions and at physiopathological level
Lesions and ventilation are derived, quantified and stored as longitudinal data
Conditions are predicted for acute and chronic patients
Data are stratified for single patients and populations
Morpho-function for radiology, surgery, mechanical ventilation
Multidata analysis to predict progression and spot precursors
ISO 13485:2016
MedLea conforms to the Quality Management System for the following scope : Design and Development of Software for the Processing of Radiological, Clinical and Telemedicine Health Data for the Analysis of Cardiorespiratory Diseases
ISO 9001:2015
MedLea conforms to the Quality Management System Standard for the processing of radiological data, clinical data and telemedicine health data for the analysis of pathophysiological respiration and prediction of lung disease