21 November 2019

The grant application called "aiREAD – Accurate and Intelligent Reading for EArlier breast cancer Detection” by project leader Ioannis Sechopoulos, has been selected for funding under the NWO TTW – KWF Kankerbestrijding – Top Sector LSH Partnership “Technology for Oncology II”.

By developing and applying new artificial intelligence methods, and advancing our knowledge on human visual perception of medical images, the investigators will improve how radiologists read breast cancer screening mammograms. Optimal reading of the screening mammograms will result in earlier detection of breast cancer, fewer healthy women recalled due to false alarms, and savings in the costs of healthcare.

Lead by Ioannis Sechopoulos, the project team consists of Jonas Teuwen, from the Department of Radiology and Nuclear Medicine, Mireille Broeders (Department for Health Evidence and the Dutch Expert Centre for Screening, LRCB), Ruud Pijnappel (UMC Utrecht and LRCB), Lucien Duijm (Canisius Wilhelmina Hospital and LRCB), and Craig Abbey and Miguel Eckstein (both from University of California, Santa Barbara, USA).

Read more on the NWO website (in Dutch).

Ioannis Sechopoulos is a member of theme Women's cancers and the LRCB, and leader of the AXTI laboratory.

Related news items

Grants for science communication at Radboudumc

22 April 2021

Scientists at the Radboudumc have received two KNAW grants, each worth 10,000 euros, for science communication. With the new fund, KNAW underlines importance of making science accessible.

read more

Obesity increases risk of death in uterine cancer PhD defense of Hannah Donkers on 22 April

22 April 2021

Research by Hannah Donkers shows that obesity causes a worse survival rate in women with uterine cancer. In addition, it appears that lower socioeconomic class and anemia also contribute.

read more

Taco Kooij appointed as member Works Council

22 April 2021

The interim Works Council election of Radboudumc is now closed, the votes are counted and they have announced the results.

read more

Patients who are obese or overweight are at risk for a more severe course of COVID-19

19 April 2021

International study shows risk of mortality does not increase

read more

New way of diagnostics detects 'undetectable' genetic defects

15 April 2021

Research provides guidance for global application

read more