Sample Collection for The Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes With Thoracic Diseases
Sponsor: University of Oxford
Trial Details
| Condition | Lung Cancer |
| Status | Active |
| Participants | 872 |
| Est. Completion | 30 Sept 2027 |
| Last Updated | 22 May 2026 |
Primary Outcome
To develop an algorithm that gives a greater than chance improved ability to diagnose lung cancer using the blood biomarkers with or without the AI CT algorithm compared to not using them
Eligibility Criteria
Inclusion Criteria
Patient suitability will be assessed against the below criteria by the clinical teams managing the patients. Inclusion Criteria: 1. Patients with a pulmonary nodule or nodule(s) detected on a CT scan performed as part of Lung Cancer Screening from the Lung Health Check centres, that require further investigation with a PET-CT scan, and / or biopsy, and / or resection 2. Willing and able to give informed consent Exclusion Criteria: * None -
Trial Sites
Countries
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service