American Psychological Association 6th edition

Han, B., Hai, J. J., Pan, A., Wang, Y., & Hai, Y. (2025). Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-86330-2

ISO-690 (author-date, English)

HAN, Bo, HAI, Junrui Jonathan, PAN, Aixing, WANG, Yingjie und HAI, Yong, 2025. Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study. Scientific Reports. 1 Dezember 2025. Vol. 15, no. 1, . DOI 10.1038/s41598-025-86330-2.

Modern Language Association 9th edition

Han, B., J. J. Hai, A. Pan, Y. Wang, und Y. Hai. „Machine Learning Analysis of Cervical Balance in Early-Onset Scoliosis Post-Growing Rod Surgery: A Case-Control Study“. Scientific Reports, Bd. 15, Nr. 1, Dezember 2025, https://doi.org/10.1038/s41598-025-86330-2.

Mohr Siebeck - Recht (Deutsch - Österreich)

Han, Bo/Hai, Junrui Jonathan/Pan, Aixing/Wang, Yingjie/Hai, Yong: Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study, Scientific Reports 2025,

Emerald - Harvard

Han, B., Hai, J.J., Pan, A., Wang, Y. und Hai, Y. (2025), „Machine learning analysis of cervical balance in early-onset scoliosis post-growing rod surgery: a case-control study“, Scientific Reports, Vol. 15 No. 1, verfügbar unter:https://doi.org/10.1038/s41598-025-86330-2.

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