APA (7th ed.) Citation

MA, J., M, M., F, M., E, C., R, R., A, S., . . . S, A. (2026). Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy. Techniques in coloproctology, 30(1), . https://doi.org/10.1007/s10151-026-03333-5

Chicago Style (17th ed.) Citation

MA, Javed, Mascarenhas M, Mendes F, Carvalho E, Rajan R, Santos A, Khan Z, Blake I, and Ahmed S. "Use of Artificial Intelligence in Analysis of Endoscopic Images to Detect Residual Disease or Regrowth in Rectal Patients with Complete Clinical Response to Neoadjuvant Chemoradiotherapy." Techniques in Coloproctology 30, no. 1 (2026). https://doi.org/10.1007/s10151-026-03333-5.

MLA (9th ed.) Citation

MA, Javed, et al. "Use of Artificial Intelligence in Analysis of Endoscopic Images to Detect Residual Disease or Regrowth in Rectal Patients with Complete Clinical Response to Neoadjuvant Chemoradiotherapy." Techniques in Coloproctology, vol. 30, no. 1, 2026, https://doi.org/10.1007/s10151-026-03333-5.