Latest
Our latest news and progress
- All
-
Patient experience -
Artificial intelligence -
Machine learning -
Project updates -
NCIMI updates -
COVID-19
Important: DART Programme Data Email Address Update
March 17, 2025
Thank you to all the sites which are sending data to the DART Programme. Please note that our email address…
Update on the NHS Lung Cancer Screening Programme
March 4, 2025
DART at OxCODE
January 29, 2025
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
CanPredict: Lung cancer risk prediction
April 13, 2023
In-coming data
February 27, 2023
Have your say
October 28, 2022
National lung cancer screening
September 29, 2022
Presentation at OxCODE Symposium
September 22, 2022
World Lung Cancer Day 2022
August 1, 2022
Data collection has begun
July 8, 2022
Portsmouth encourages participation in Lung Health Checks
June 23, 2022
Celebrate Doncaster LHC’s success
May 4, 2022
Registration with ISRCTN
April 8, 2022
Optellum attains CE marking in Europe
April 5, 2022
Approvals and adoption
March 2, 2022
GE Healthcare and Optellum join forces to advance Lung Cancer Diagnosis with Artificial Intelligence
November 29, 2021
NCIMI: Seven Strategies for Success – for adoption and deployment of Artificial Intelligence in Medical Diagnostics
November 25, 2021
Automated Annotator: Capturing Expert Knowledge
October 27, 2021
DART presentation at Machine Learning in Medical Imaging workshop
September 27, 2021
AI software could help clinicians diagnose lung cancer earlier and reduce waiting lists for patients
July 26, 2021
Investigating lung damage in people with long COVID
July 19, 2021
Optellum receives FDA clearance for Virtual Nodule Clinic
March 24, 2021
UKRI announces £11 million funding for DART lung health project
July 13, 2020
Comparing imaging techniques to diagnose lung cancer – looking for advisors
Patient experience
CanPredict: Lung cancer risk prediction
National lung cancer screening
Portsmouth encourages participation in Lung Health Checks
Celebrate Doncaster LHC’s success
Approvals and adoption
NCIMI: Seven Strategies for Success – for adoption and deployment of Artificial Intelligence in Medical Diagnostics
Active data enrichment by learning what to annotate in digital pathology
Abstract: Our work aims to link pathology with radiology with the goal to improve the early detection of lung cancer.…
Comparing imaging techniques to diagnose lung cancer – looking for advisors
CanPredict: Lung cancer risk prediction
In-coming data
National lung cancer screening
Presentation at OxCODE Symposium
Data collection has begun
Celebrate Doncaster LHC’s success
Optellum attains CE marking in Europe
Approvals and adoption
Active data enrichment by learning what to annotate in digital pathology
Abstract: Our work aims to link pathology with radiology with the goal to improve the early detection of lung cancer.…
Comparing imaging techniques to diagnose lung cancer – looking for advisors
In-coming data
Presentation at OxCODE Symposium
Data collection has begun
Celebrate Doncaster LHC’s success
Optellum attains CE marking in Europe
Approvals and adoption
GE Healthcare and Optellum join forces to advance Lung Cancer Diagnosis with Artificial Intelligence
NCIMI: Seven Strategies for Success – for adoption and deployment of Artificial Intelligence in Medical Diagnostics
Active data enrichment by learning what to annotate in digital pathology
Abstract: Our work aims to link pathology with radiology with the goal to improve the early detection of lung cancer.…
Presentation at OxCODE Symposium
Data collection has begun
Automated Annotator: Capturing Expert Knowledge
UKRI announces £11 million funding for DART lung health project