Qureight

IPF Dataset

Patients with serious lung diseases, like Idiopathic Pulmonary Fibrosis, can be difficult to monitor and treat. It’s often hard to tell if their condition is staying the same, getting worse, or if their medication is working. Doctors usually track this using a breathing test called Forced Vital Capacity (FVC), but this test can be affected by how well the patient performs it and other health issues they might have. To get a clearer picture, patients also have CT scans of their lungs. These scans hold a lot of useful information, but interpreting them requires highly trained specialists. However, computers may be able to help analyse these images more quickly and accurately.

As part of this project, Qureight used artificial intelligence (AI) to analyse lung scans and other health data. Their technology will measure things like lung size, airway size, blood vessel volume, and scarring (fibrosis) in the lungs. The project will also track changes in these images over time and compare them to breathing tests.

This project aims to improve the diagnosis, monitoring, and treatment of serious lung diseases. It could help doctors detect deterioration earlier, personalise treatments, and improve patient outcomes. This research will enhance patient care by making disease monitoring more precise and accessible. Faster and more accurate assessments mean patients can receive the right treatments at the right time, potentially improving quality of life and life expectancy. This could also reduce pressure on healthcare services by streamlining diagnosis and monitoring, benefiting both patients and the wider health system.

29/03/2023

SDE031

Data Egress via SFTP

Not yet published