Artificial intelligence-based detection of paediatric appendicular skeletal fractures: performance and limitations for common fracture types and locations.

MLA

Altmann-Schneider, Irmhild, et al. “Artificial Intelligence-Based Detection of Paediatric Appendicular Skeletal Fractures: Performance and Limitations for Common Fracture Types and Locations.” Pediatric Radiology, vol. 54, no. 1, Jan. 2024, pp. 136–45. EBSCOhost, https://doi.org/10.1007/s00247-023-05822-3.

APA

Altmann-Schneider, I., Kellenberger, C. J., Pistorius, S.-M., Saladin, C., Schäfer, D., Arslan, N., Fischer, H. L., & Seiler, M. (2024). Artificial intelligence-based detection of paediatric appendicular skeletal fractures: performance and limitations for common fracture types and locations. Pediatric Radiology, 54(1), 136–145. https://doi.org/10.1007/s00247-023-05822-3

Chicago

Altmann-Schneider, Irmhild, Christian J. Kellenberger, Sarah-Maria Pistorius, Camilla Saladin, Debora Schäfer, Nidanur Arslan, Hanna L. Fischer, and Michelle Seiler. 2024. “Artificial Intelligence-Based Detection of Paediatric Appendicular Skeletal Fractures: Performance and Limitations for Common Fracture Types and Locations.” Pediatric Radiology 54 (1): 136–45. doi:10.1007/s00247-023-05822-3.