Cite Them Right 11th edition - Harvard

Saravi, B.E., Zink, A., Uelkuemen, S., Couillard-Despres, S., Hassel, F. und Lang, G.M. (2022) Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery [cd]. Freiburg: Universität. doi:10.3390/jcm11144050.

Chicago Manual of Style 17th edition (full note)

Saravi, Babak Ebrahimzadeh, Alisia Zink, Sara Uelkuemen, Sebastien Couillard-Despres, Frank Hassel, und Gernot Michael Lang. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery. Cd. Freiburg: Universität, [2022?], Freiburg: Universität, [2022?]. https://doi.org/10.3390/jcm11144050.

American Psychological Association 7th edition

Saravi, B. E., Zink, A., Uelkuemen, S., Couillard-Despres, S., Hassel, F., & Lang, G. M. (ca. 2022). Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery [Cd]. Universität. https://doi.org/10.3390/jcm11144050

Modern Language Association 9th edition

Saravi, B. E., A. Zink, S. Uelkuemen, S. Couillard-Despres, F. Hassel, und G. M. Lang. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery. cd, Universität, 2022, https://doi.org/10.3390/jcm11144050.

ISO-690 (author-date, Deutsch)

SARAVI, Babak Ebrahimzadeh, Alisia ZINK, Sara UELKUEMEN, Sebastien COUILLARD-DESPRES, Frank HASSEL und Gernot Michael LANG, 2022. Performance of artificial intelligence-based algorithms to predict prolonged length of stay after lumbar decompression surgery. Freiburg: Universität

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.