Use cases
Where the functional lung twin is used today: study, simulation and training. LeaRes does not provide a diagnosis; the clinical judgement stays with the clinician.
Thoracic surgery: study and teaching
The patient’s anatomy in 3D
LeaRes reconstructs lobes, fissures and the airway tree from a chest CT and shows them in 2D and 3D. Surgical teams use the model to study the anatomy of a case, discuss it together and teach it to residents. It is a study model, not a plan of the operation.
Each lobe’s share of the breath
The ventilation simulation shows how much each lobe contributes to the breath on the reconstructed anatomy. The numbers are simulation outputs for research and teaching: they do not estimate the outcome of a resection and are not meant to choose a procedure.
One model for the whole team
The case is shared in the browser, in the cloud or on the hospital’s own servers, so the multidisciplinary team looks at the same anatomy in case discussions and teaching sessions.
Critical care: research on ventilation
Regional ventilation, simulated
From a CT, LeaRes simulates how ventilation distributes across the lung: where it inflates, where it over-distends, how the two lungs share the breath. Research groups use these maps to study regional mechanics on real anatomies instead of an average lung.
Scenarios for research protocols
Different simulated breathing conditions can be compared on the same reconstructed lung, for research protocols and teaching. The simulations are not intended to set or change a patient’s ventilator.
Training intensivists
Real anatomies make teaching on ventilation concrete: residents see on a reconstructed lung how regional mechanics shape airflow and volume, in the browser.
Quantitative imaging research
Consistent, verifiable data
LeaRes is built to confirm the consistency and plausibility of the data collected for a case — scans, segmentations, measurements — so that research datasets rest on verifiable inputs.
Measurements, not labels
The outputs are measurements — volumes and simulated functional quantities per lobe — that researchers can compare across scans and cohorts. LeaRes does not label a disease and does not detect lesions.
Pathology-agnostic AI: pilot programme
In a pilot programme, Medlea is developing tools with which a department defines a pattern, annotates its own cases and trains a model inside its perimeter. This is research and development, not a function of the CE-marked device.
Research for pharma and medical devices
In-silico studies of inhaled therapies
With LeaFlow, Medlea’s research and engineering engine, airflow and particle transport are simulated in reconstructed airways, for research on inhaled therapies and device design. LeaFlow is not part of the CE-marked device and is not intended for clinical decisions.
Virtual cohorts
Anatomies reconstructed from many cases form virtual cohorts for in-silico research, under data agreements with the centres that own the data.
Traceable results
Each attested run carries a signed provenance record of software, hardware and data, built with EQTY Lab, so research results can be traced and audited. Attestation does not establish clinical validity.