APA (7th ed.) Citation

Römmele, C., Mendel, R., Barrett, C., Kiesl, H., Rauber, D., Rückert, T., . . . Ebigbo, A. (2022). An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis. Scientific Reports, 12(1), 1. https://doi.org/10.1038/s41598-022-14605-z

Chicago Style (17th ed.) Citation

Römmele, Christoph, et al. "An Artificial Intelligence Algorithm Is Highly Accurate for Detecting Endoscopic Features of Eosinophilic Esophagitis." Scientific Reports 12, no. 1 (2022): 1. https://doi.org/10.1038/s41598-022-14605-z.

MLA (9th ed.) Citation

Römmele, Christoph, et al. "An Artificial Intelligence Algorithm Is Highly Accurate for Detecting Endoscopic Features of Eosinophilic Esophagitis." Scientific Reports, vol. 12, no. 1, 2022, p. 1, https://doi.org/10.1038/s41598-022-14605-z.