Transforming
the diagnosis of lung cancer and other thoracic diseases through artificial intelligence
DART: The Integration and Analysis of Data using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases
Project
Using AI algorithms built on clinical, imaging and molecular data to define a new set of standards for lung cancer screening.
Work packages
Nine work packages developing and improving artificial intelligence algorithms for early detection of lung cancer.
Lung health checks
Data provided by the NHS England Targeted Lung Health Checks (TLHC) programme, improving early diagnosis and survival for those diagnosed with cancer.
Partners
Three industrial partners facilitating the sharing of data and development and improvement of artificial intelligence algorithms.
Latest
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DART at OxCODE
January 29, 2025
Prof Fergus Gleeson (University of Oxford) and Dr Richard Lee (Royal Marsdon) represented the DART partnership at the Oxford Centre…
Active data enrichment by learning what to annotate in digital pathology
March 11, 2024
Unlocking the future of lung cancer screening: How DART is redefining early diagnosis
October 23, 2023
Comparing imaging techniques to diagnose lung cancer – looking for advisors
May 25, 2023