Transforming breast cancer management with real-world data and artificial intelligence
Despite the benefits, challenges remain in integrating RWD and AI into clinical practice, particularly regarding transparency, interpretability, and ethical considerations. Addressing these challenges requires robust data governance frameworks, interdisciplinary collaboration, and investment in advanced analytical tools. The potential for RWD and AI to transform breast cancer treatment and improve patient care is significant, underscoring the need for ongoing research and collaboration.
Authors
- Olivier Trédan (ORCID: https://orcid.org/0000-0001-5881-9383)
- Benoîte Méry (ORCID: https://orcid.org/0000-0002-7280-3633)
- Hugo Crochet (ORCID: https://orcid.org/0000-0002-9800-0986)
- T. Bachelot
- Pierre-Étienne Heudel (ORCID: https://orcid.org/0000-0002-2155-549X)
Institutions
- Centre Léon Bérard (FR)
Publication Details
- Journal
- ESMO Real World Data and Digital Oncology
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.esmorw.2024.100067
- Citations
- 4
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 1.39