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
See all latestActive data enrichment by learning what to annotate in digital pathology
March 11, 2024
Abstract: Our work aims to link pathology with radiology with the goal to improve the early detection of lung cancer.…
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
CanPredict: Lung cancer risk prediction
April 13, 2023