The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer-a multidisciplinary consensus.

Pfob A, Pinker K, Vaz-Luis I, Di Meglio A, Cardoso MJ, Curigliano G, Gentilini OD, Gruber G, Hauser N, Heil J, Kaidar-Person O, Knauer M, Lee HB, Lee SB, Loi S, Mannhart M, Mastora S, Meattini I, Di Micco R, Noske A, Peccatori FA, Poulakaki F, Reinisch M, Rubio IT, Swanton C, Tausch C, Vrancken Peeters MJ, Yu JH, Weber WP, Zerbe N, Poortmans P, Denkert C, Mann R, Delaloge S, Dubsky P, Athanasiou A, Aznar M, Bachelot T, Bago-Horvath Z, Banys-Paluchowski M, Belouka S, Bitencourt A, Boersma L, Bowles K, Britz R, Brunsden S, Caballero C, Camps-Herrero J, Catanuto GF, Chatzinikolaou E, Coles C, Corradini S, Coutee T, de Boniface J, Di Meglio A, Diebold J, Dieroff Hay S, Ditsch N, Dodwell D, Ellis I, Eskreis-Winkler S, Franco P, Franzoi MA, Frazer H, frederic-moreau T, Fuchsjäger M, Gabryś D, Ganz-Blättler U, Gasparri ML, Iima M, Karamitopoulou E, Katapodi M, Kirchner M, Kretsi A, Krogsgaard R, Krug D, Kuehn T, Kuhl C, Lång K, Lee KH, Lee SB, Lee HJ, L'Imperio V, MacKenzie M, Maraldo MV, McIntosh SA, Mjaaland I, Montero A, Moy L, Mucklow R, Naidoo S, Niemi A, Pediconi F, Penault-Llorca F, Pfeiffer M, Pfob A, Pinker K, Prenissl N, Radosevic-Robin N, Ramiah D, Ratosa I, Rau T, Razis E, Regitnig P, Rocco N, Sager P, Saint-Maurice PF, Sander A, Sardanelli F, Schesny E, Schiaffino S, Schipf A, Schuessler M, Shaw J, Soldato D, Stamatelopoulos S, Steyerova P, Ströbel P, Testa L, van Nijnatten TJ, Vaz I, Vaz Luis I, Vazquez-Manjarrez SE, Vidal M, Volders J, Wallwiener M, Wyld L, Zdenkowski N (2025)

Publication Type: Journal article, Review article

Publication year: 2025

Journal

Book Volume: 26

Pages Range: e694-e706

Journal Issue: 12

DOI: 10.1016/S1470-2045(25)00463-2

Abstract

The Lucerne Toolbox 3 initiative addresses the pressing need for evidence-based integration of digital health and artificial intelligence (AI) technologies in early breast cancer care. The multidisciplinary consortium identified and prioritised 15 crucial medical knowledge gaps across the patient journey, from diagnosis to treatment and survivorship, using a modified Delphi consensus process with 112 unique members from 27 countries and 16 medical societies, trial groups, and patient organisations. The knowledge gaps include AI-based mammography screening, personalised screening strategies, digital knowledge databases, AI-driven treatment optimisation, and digitally delivered monitoring and supportive care. The consortium developed 13 trial designs in the Population, Intervention, Comparison, and Outcome format to address these gaps, achieving consensus or majority vote in 98% of statements. The recommendations emphasise precision medicine, patient-centred care, and interdisciplinary collaboration to improve outcomes, efficiency, and equity in breast cancer care. By presenting a roadmap for actionable trials, Lucerne Toolbox 3 sets a foundation for advancing digital health in breast cancer care.

Involved external institutions

Klinik Sankt Elisabeth GmbH Germany (DE) Seoul National University (SNU) / 서울대학교 Korea, Republic of (KR) University of Ulsan / 울산대학교 Korea, Republic of (KR) Peter MacCallum Cancer Centre Australia (AU) Hirslanden AG / Privatklinikgruppe Hirslanden Switzerland (CH) Europa Donna – The European Breast Cancer Coalition (Italien) Italy (IT) Columbia University Irving Medical Center (CUIMC) United States (USA) (US) Champalimaud Foundation / Fundação Champalimaud Portugal (PT) European Institute of Oncology / Istituto Europeo di Oncologia (IEO) Italy (IT) Università Vita-Salute San Raffaele (UniSR) Italy (IT) Chaim Sheba Medical Center at Tel HaShomer / המרכז הרפואי עש חיים שיבא – תל השומר‎‎ Israel (IL) Tumor- und Brustzentrum Ostschweiz St. Gallen / Tumor and Breast Center Eastern Switzerland Switzerland (CH) Universitätsklinikum Mannheim / University Medical Centre Mannheim (Universitätsmedizin Mannheim) Germany (DE) Clínica Universidad de Navarra Spain (ES) The Francis Crick Institute United Kingdom (GB) Brust-Zentrum Zürich Switzerland (CH) Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital (NKI / NKI-AVL) Netherlands (NL) Sungkyunkwan University (SKKU) Korea, Republic of (KR) Universitätsspital Basel Switzerland (CH) Charité - Universitätsmedizin Berlin Germany (DE) Iridium Kankernetwerk Belgium (BE) Philipps-Universität Marburg Germany (DE) Institut Gustave-Roussy France (FR) Careggi University Hospital / Azienda Ospedaliero Universitaria Careggi Italy (IT) Ospedale San Raffaele (früher: Centro San Raffaele del Monte Tabor Foundation) Italy (IT) MEDICA Pathologie Enge Switzerland (CH)

How to cite

APA:

Pfob, A., Pinker, K., Vaz-Luis, I., Di Meglio, A., Cardoso, M.J., Curigliano, G.,... Zdenkowski, N. (2025). The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer-a multidisciplinary consensus. Lancet Oncology, 26(12), e694-e706. https://doi.org/10.1016/S1470-2045(25)00463-2

MLA:

Pfob, André, et al. "The Lucerne Toolbox 3: digital health and artificial intelligence to optimise the patient journey in early breast cancer-a multidisciplinary consensus." Lancet Oncology 26.12 (2025): e694-e706.

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