Artificial intelligence for early detection of non-communicable disease risk in people with breast cancer (ARTILLERY)

Abstract

The ultimate ambition of the ARTILLERY consortium is to enhance long term health of the growing population of breast cancer survivors by making optimal use of routine imaging for timely detection of actionable chronic conditions or their risk factors. ARTILLERY will develop trustworthy AI systems that allow robust and accurate risk prediction of common chronic conditions, including cardiovascular disease, chronic obstructive pulmonary disease, unfavorable body composition and osteoporosis. Implementation of these AI systems in routine care will provide healthcare professionals with objective and quantitative parameters of their patients’ individual chronic disease risks, permitting them to start prompt treatment and implement risk reducing strategies. Unique aspects of ARTILLERY include the continuous and close interaction between renowned computational scientists, influential breast cancer professionals and the largest breast cancer patient advocacy organisation in Europe, as well as direct access to a large and comprehensive Real-World Data infrastructure that includes CT scans and clinical data from >26.000 patients with breast cancer. This partnership will result in trustworthy AI systems for prevalent chronic conditions, relevant to breast cancer patients and physicians, and ready for implementation at radiotherapy workstations across Europe. ARTILLERY-manuals will be developed and made available to multidisciplinary tumour boards and will contain recommendations on how and when (not) to use AI systems in routine breast cancer care, and on optimal management of breast cancer patients identified to be at high risk of chronic conditions. At the end of the project, we will have augmented the understanding and perception of the public towards the use of AI systems in routine healthcare and empowered breast cancer patients to make targeted lifestyle changes based on their individual risk profile, thus improving their life expectancy and quality of life.

Bibliographics records

1.
Tomaž Vrtovec, Luka Škrlj: Artificial Intelligence for early detection of non-communicable disease risk in people with breast cancer (project ARTILLERY). 35th Oncology Weekend: Artificial Intelligence in Oncology and Monitoring of Patients after Treatment, Janez Žgajnar, Amela Duratović Konjević (Eds.), May 10-11, Portorož, Slovenia, 30-37, 2024 [COBISS-ID:195414019 ] [Digital Repository ]
2.
Sofie Gernaat, Ivana Isgum, Arco Teske, Nadia Harbeck, Marleen De Bruijne, Darja Molan, Rieke Van Der Graaf, Eva Batista, Tomaž Vrtovec, Lourens Robbers, Maja Maraldo, Femke Van Der Leij, Helena Verkooijen: 74: The ARTILLERY project: developing, validating and prospectively evaluating trustworthy AI systems for early detection of cardiovascular disease risk in women with breast cancer using routine CT scans. Global Cardio Oncology Summit - GCOS 2023, Sep 27-29, Madrid, Spain, 2023 [COBISS-ID:171145219 ] [GCOS 2023 ]
3.
Tomaž Vrtovec: The ARTILLERY project - Artificial Intelligence for early detection of non-communicable disease risk in people with breast cancer. The Cancer Mission - Health Cluster in the Horizon Europe Framework Programme at the Ministry of Higher Education, Science and Innovation, Ljubljana, Slovenia, Sep 11, 2023 [COBISS-ID:171087107 ]