Health AI Central
Peer-Reviewed Publication
Tech Coloproctol2026;30(1)May 14, 2026Journal Article

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.

M A Javed1,2, M Mascarenhas3,4,5,6,7, F Mendes3,4,5,7, E Carvalho8, R Rajan9, A Santos5,7, Z Khan10, I Blake9,10, S Ahmed9,10
1Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK. ahsanj@liverpool.ac.uk.
2Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK. ahsanj@liverpool.ac.uk.
3Precision Medicine Unit, Department of Gastroenterology, Unidade Local de Saúde São João, Porto, Portugal.
4WGO Gastroenterology and Hepatology Training Center, Porto, Portugal.
5Faculty of Medicine, University of Porto, Porto, Portugal.
6CINTESIS-RISE, Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
7DigestAID, Digestive Artificial Intelligence Development, Porto, Portugal.
8INEGI, Instituto de Ciência E Inovação Em Engenharia Mecânica E Engenharia Industrial, Porto, Portugal.
9Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK.
10Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant chemo/radiotherapy (nCRT) may opt for organ preservation and watch and wait (W&W). This consists of an intense surveillance program including serial endoscopies, pelvic magnetic resonance imaging (MRI), carcinoembryonic antigen (CEA), and computed tomography (CT) scans to detect regrowth at an early…

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