Digital Twin and Generative Functional Radiology cut down diagnostic cost by 86%
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
Detection of lesions, oncological regions and derivation of ventilatory maps
Pre-operative assesment of lung function for resection scenarios
Correlative analysis predicting disease progression from longitudinal data
Device simulation for optimized drug delivery in real-world anatomies
Ventilator settings for adaptive closed-loop ventilation and avoided injury
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, and stored as longitudinal data
Patients are stratified and compared to population data
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 Design and Development of Software for the Processing of Radiological, Clinical and Telemedicine Health Data for the Analysis of Cardiorespiratory Diseases