Kitamura, F., Kline, T., Warren, D., Moy, L., Daneshjou, R., Maleki, F., … Tenenholtz, N. (2025). Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiol Artif Intell, 7(6), e250137. https://doi.org/10.1148/ryai.250137

Kitamura, Felipe, Timothy Kline, Daniel Warren, Linda Moy, Roxana Daneshjou, Farhad Maleki, Igor Santos, et al. “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.” Radiol Artif Intell 7, no. 6 (November 2025): e250137. https://doi.org/10.1148/ryai.250137.

Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, et al. Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiol Artif Intell. 2025 Nov;7(6):e250137.

Kitamura, Felipe, et al. “Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.” Radiol Artif Intell, vol. 7, no. 6, Nov. 2025, p. e250137. Pubmed, doi:10.1148/ryai.250137.

Kitamura F, Kline T, Warren D, Moy L, Daneshjou R, Maleki F, Santos I, Gichoya J, Wiggins W, Bialecki B, O’Donnell K, Flanders AE, Morgan M, Safdar N, Andriole KP, Geis R, Allen B, Dreyer K, Lungren M, Wood MJ, Kohli M, Langer S, Shih G, Farina E, Kahn CE, Reiser I, Giger M, Wald C, Mongan J, Cook T, Tenenholtz N. Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM. Radiol Artif Intell. 2025 Nov;7(6):e250137.