APA (7th ed.) Citation

Fathi, M., Eshraghi, R., Behzad, S., Tavasol, A., Bahrami, A., Tafazolimoghadam, A., . . . Gholamrezanezhad, A. (2024). Potential strength and weakness of artificial intelligence integration in emergency radiology. Emergency Radiology: A Journal of Practical ImagingOfficial Journal of the American Society of Emergency Radiology, 31(6), 887-901. https://doi.org/10.1007/s10140-024-02278-2

Chicago Style (17th ed.) Citation

Fathi, Mobina, Reza Eshraghi, Shima Behzad, Arian Tavasol, Ashkan Bahrami, Armin Tafazolimoghadam, Vivek Bhatt, Delaram Ghadimi, and Ali Gholamrezanezhad. "Potential Strength and Weakness of Artificial Intelligence Integration in Emergency Radiology." Emergency Radiology: A Journal of Practical ImagingOfficial Journal of the American Society of Emergency Radiology 31, no. 6 (2024): 887-901. https://doi.org/10.1007/s10140-024-02278-2.

MLA (9th ed.) Citation

Fathi, Mobina, et al. "Potential Strength and Weakness of Artificial Intelligence Integration in Emergency Radiology." Emergency Radiology: A Journal of Practical ImagingOfficial Journal of the American Society of Emergency Radiology, vol. 31, no. 6, 2024, pp. 887-901, https://doi.org/10.1007/s10140-024-02278-2.