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.
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| Title: | 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. |
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| Authors: | Javed MA; Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK. ahsanj@liverpool.ac.uk.; Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK. ahsanj@liverpool.ac.uk., Mascarenhas M; Precision Medicine Unit, Department of Gastroenterology, Unidade Local de Saúde São João, Porto, Portugal.; WGO Gastroenterology and Hepatology Training Center, Porto, Portugal.; Faculty of Medicine, University of Porto, Porto, Portugal.; CINTESIS-RISE, Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.; DigestAID, Digestive Artificial Intelligence Development, Porto, Portugal., Mendes F; Precision Medicine Unit, Department of Gastroenterology, Unidade Local de Saúde São João, Porto, Portugal.; WGO Gastroenterology and Hepatology Training Center, Porto, Portugal.; Faculty of Medicine, University of Porto, Porto, Portugal.; DigestAID, Digestive Artificial Intelligence Development, Porto, Portugal., Carvalho E; INEGI, Instituto de Ciência E Inovação Em Engenharia Mecânica E Engenharia Industrial, Porto, Portugal., Rajan R; Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK., Santos A; Faculty of Medicine, University of Porto, Porto, Portugal.; DigestAID, Digestive Artificial Intelligence Development, Porto, Portugal., Khan Z; Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK., Blake I; Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK.; Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK., Ahmed S; Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK.; Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK. |
| Source: | Techniques in coloproctology [Tech Coloproctol] 2026 May 14; Vol. 30 (1). Date of Electronic Publication: 2026 May 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 9613614 Publication Model: Electronic Cited Medium: Internet ISSN: 1128-045X (Electronic) Linking ISSN: 11236337 NLM ISO Abbreviation: Tech Coloproctol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1128-045X |
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| DOI: | 10.1007/s10151-026-03333-5 |
