Schunk, M.; Hübener, C.; Robert, S.; Bayerl, S.P.; Luegmair, K.
FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care—A Mixed-Methods Study Protocol. Healthcare 2026, 14, 1607.
https://doi.org/10.3390/healthcare14121607
AMA Style
Schunk M, Hübener C, Robert S, Bayerl SP, Luegmair K.
FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care—A Mixed-Methods Study Protocol. Healthcare. 2026; 14(12):1607.
https://doi.org/10.3390/healthcare14121607
Chicago/Turabian Style
Schunk, Michaela, Christoph Hübener, Sebastian Robert, Sebastian P. Bayerl, and Karolina Luegmair.
2026. "FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care—A Mixed-Methods Study Protocol" Healthcare 14, no. 12: 1607.
https://doi.org/10.3390/healthcare14121607
APA Style
Schunk, M., Hübener, C., Robert, S., Bayerl, S. P., & Luegmair, K.
(2026). FAIR-Birth: Development and Feasibility Testing of an AI-Supported Advance Birth Planning Application for Midwifery-Led Antenatal Care—A Mixed-Methods Study Protocol. Healthcare, 14(12), 1607.
https://doi.org/10.3390/healthcare14121607
