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; Toolbox 3 Consortium

Author(s): 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; Toolbox 3 Consortium;
Details: Publication Year 2025-12,Volume 26,Issue #12,Page e694-e706
Journal Title: Lancet Oncology
Publication Type: Guideline
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.
Keywords: Humans; *Breast Neoplasms/therapy/diagnosis; *Artificial Intelligence; Female; Early Detection of Cancer/methods; Consensus; Precision Medicine; Patient-Centered Care; Digital Health
Department(s): Medical Oncology; Laboratory Research
Publisher's Version: https://doi.org/10.1016/s1470-2045(25)00463-2
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2025-12-05 02:49:47

Last Modified: 2025-12-05 02:55:47