Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Pruneski, J. A., Pareek, A., Nwachukwu, B. U., Martin, R. K., Kelly, B. T., Karlsson, J., Pearle, A. D., Kiapour, A. M., & Williams III, R. J. (2023). Natural language processing: using artificial intelligence to understand human language in orthopedics. Knee Surgery, Sports Traumatology, Arthroscopy, 31(4), 1203-1211. https://doi.org/10.1007/s00167-022-07272-0

ISO-690 (author-date, English)

PRUNESKI, James A., PAREEK, Ayoosh, NWACHUKWU, Benedict U., MARTIN, R. Kyle, KELLY, Bryan T., KARLSSON, Jón, PEARLE, Andrew D., KIAPOUR, Ata M. und WILLIAMS III, Riley J., 2023. Natural language processing: using artificial intelligence to understand human language in orthopedics. Knee Surgery, Sports Traumatology, Arthroscopy. 1 April 2023. Vol. 31, no. 4, p. 1203-1211. DOI 10.1007/s00167-022-07272-0.

Modern Language Association 9th edition

Pruneski, J. A., A. Pareek, B. U. Nwachukwu, R. K. Martin, B. T. Kelly, J. Karlsson, A. D. Pearle, A. M. Kiapour, und R. J. Williams III. „Natural Language Processing: Using Artificial Intelligence to Understand Human Language in Orthopedics.“. Knee Surgery, Sports Traumatology, Arthroscopy, Bd. 31, Nr. 4, April 2023, S. 1203-11, https://doi.org/10.1007/s00167-022-07272-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Pruneski, James A./Pareek, Ayoosh/Nwachukwu, Benedict U./Martin, R. Kyle/Kelly, Bryan T./Karlsson, Jón u. a.: Natural language processing: using artificial intelligence to understand human language in orthopedics., Knee Surgery, Sports Traumatology, Arthroscopy 2023, 1203-1211.

Emerald - Harvard

Pruneski, J.A., Pareek, A., Nwachukwu, B.U., Martin, R.K., Kelly, B.T., Karlsson, J., Pearle, A.D., Kiapour, A.M. und Williams III, R.J. (2023), „Natural language processing: using artificial intelligence to understand human language in orthopedics.“, Knee Surgery, Sports Traumatology, Arthroscopy, Vol. 31 No. 4, S. 1203-1211.

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