The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?
Nikos Tsiknakis is supported by the Swedish Research Council (Grant Number 2021-03061, Theodoros Foukakis). Balazs Acs is supported by The Swedish Society for Medical Research (Svenska Sällskapet för Medicinsk Forskning) postdoctoral grant. Roberto Salgado is supported by a grant from Breast Cancer Research Foundation (BCRF).
Authors
- Johan Hartman (ORCID: https://orcid.org/0000-0002-6500-8527)
- Emma Niméus (ORCID: https://orcid.org/0000-0003-0262-9083)
- Balázs Ács (ORCID: https://orcid.org/0000-0002-0972-4633)
- Roberto Salgado (ORCID: https://orcid.org/0000-0002-1110-3801)
- David L. Rimm (ORCID: https://orcid.org/0000-0001-5820-4397)
- Nikos Tsiknakis (ORCID: https://orcid.org/0000-0002-7581-467X)
- Joan Martínez Vidal (ORCID: https://orcid.org/0000-0001-5469-2944)
- Ana Bosch (ORCID: https://orcid.org/0000-0003-0666-5946)
- Anna Ehinger (ORCID: https://orcid.org/0000-0001-9225-7396)
- Johan Staaf (ORCID: https://orcid.org/0000-0001-5254-5115)
- Yalai Bai (ORCID: https://orcid.org/0000-0003-4636-0143)
Institutions
- Karolinska University Hospital (SE)
- Lund University (SE)
- Peter MacCallum Cancer Centre (AU)
- Karolinska Institutet (SE)
- Yale University (US)
- Medicon Village (SE)
- Laboratory of Molecular Genetics (PL)
- GZA Ziekenhuizen Campus Sint-Augustinus (BE)
- Skåne University Hospital (SE)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.eclinm.2024.102928
- Citations
- 10
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 3.47
Funders
- Breast Cancer Research Foundation
- Lunds Universitet
- Svenska Sällskapet för Medicinsk Forskning
- Vetenskapsrådet