Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa.

MLA

Waljee, Akbar K., et al. “Artificial Intelligence and Machine Learning for Early Detection and Diagnosis of Colorectal Cancer in Sub-Saharan Africa.” Gut, vol. 71, no. 7, July 2022, pp. 1259–65. EBSCOhost, https://doi.org/10.1136/gutjnl-2022-327211.

APA

Waljee, A. K., Weinheimer-Haus, E. M., Abubakar, A., Ngugi, A. K., Siwo, G. H., Kwakye, G., Singal, A. G., Rao, A., Saini, S. D., Read, A. J., Baker, J. A., Balis, U., Opio, C. K., Zhu, J., & Saleh, M. N. (2022). Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa. Gut, 71(7), 1259–1265. https://doi.org/10.1136/gutjnl-2022-327211

Chicago

Waljee, Akbar K, Eileen M Weinheimer-Haus, Amina Abubakar, Anthony K Ngugi, Geoffrey H Siwo, Gifty Kwakye, Amit G Singal, et al. 2022. “Artificial Intelligence and Machine Learning for Early Detection and Diagnosis of Colorectal Cancer in Sub-Saharan Africa.” Gut 71 (7): 1259–65. doi:10.1136/gutjnl-2022-327211.