AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

Manuel Sigle, Matthias Boos, Tim Weiss, Mart van Iersel, Chinyere Nwafor-Okoli, Paul McBeth, Aisling McMahon, Patricia B Maguire, Peter Rosenberger, Meinrad Gawaz, Pamela Hickey, Rohan Lall, Erin Bugbee, Sven Weisser, Andreas Gather, Alfred Grützner, Oliver Kamp, Christian Waydhas, Marcel Dudda, André Nohl, Nicolas Eibinger, Paul Puchwein, Saffet Özkaya, Christian Knop, Martin Breitkopf, Kai Oliver Jensen, Yannik Kalbas, Ferdinand C Wagner, Benjamin Erdle, Robert Wunderlich

Open source

DOI: 10.1016/j.landig.2025.100945
Published: 2026-01
Container: The Lancet Digital Health
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.landig.2025.100945,
  title = {AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study},
  author = {Manuel Sigle and Matthias Boos and Tim Weiss and Mart van Iersel and Chinyere Nwafor-Okoli and Paul McBeth and Aisling McMahon and Patricia B Maguire and Peter Rosenberger and Meinrad Gawaz and Pamela Hickey and Rohan Lall and Erin Bugbee and Sven Weisser and Andreas Gather and Alfred Grützner and Oliver Kamp and Christian Waydhas and Marcel Dudda and André Nohl and Nicolas Eibinger and Paul Puchwein and Saffet Özkaya and Christian Knop and Martin Breitkopf and Kai Oliver Jensen and Yannik Kalbas and Ferdinand C Wagner and Benjamin Erdle and Robert Wunderlich},
  year = {2026},
  journal = {The Lancet Digital Health},
  doi = {10.1016/j.landig.2025.100945},
  url = {https://doi.org/10.1016/j.landig.2025.100945}
}

RIS

TY  - JOUR
TI  - AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study
AU  - Manuel Sigle
AU  - Matthias Boos
AU  - Tim Weiss
AU  - Mart van Iersel
AU  - Chinyere Nwafor-Okoli
AU  - Paul McBeth
AU  - Aisling McMahon
AU  - Patricia B Maguire
AU  - Peter Rosenberger
AU  - Meinrad Gawaz
AU  - Pamela Hickey
AU  - Rohan Lall
AU  - Erin Bugbee
AU  - Sven Weisser
AU  - Andreas Gather
AU  - Alfred Grützner
AU  - Oliver Kamp
AU  - Christian Waydhas
AU  - Marcel Dudda
AU  - André Nohl
AU  - Nicolas Eibinger
AU  - Paul Puchwein
AU  - Saffet Özkaya
AU  - Christian Knop
AU  - Martin Breitkopf
AU  - Kai Oliver Jensen
AU  - Yannik Kalbas
AU  - Ferdinand C Wagner
AU  - Benjamin Erdle
AU  - Robert Wunderlich
PY  - 2026
JO  - The Lancet Digital Health
DO  - 10.1016/j.landig.2025.100945
UR  - https://doi.org/10.1016/j.landig.2025.100945
ER  -

APA

Sigle, M., Boos, M., Weiss, T., Iersel, M. V., Nwafor-Okoli, C., McBeth, P., McMahon, A., Maguire, P. B., Rosenberger, P., Gawaz, M., Hickey, P., Lall, R., Bugbee, E., Weisser, S., Gather, A., Grützner, A., Kamp, O., Waydhas, C., Dudda, M., Nohl, A., Eibinger, N., Puchwein, P., Özkaya, S., Knop, C., Breitkopf, M., Jensen, K. O., Kalbas, Y., Wagner, F. C., Erdle, B., & Wunderlich, R. (2026). AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study. The Lancet Digital Health. https://doi.org/10.1016/j.landig.2025.100945

Source records

crossref · retrieved 2026-09-26T18:50:03.287Z