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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42133104 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Javed+MA%22">Javed MA</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mascarenhas+M%22">Mascarenhas M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mendes+F%22">Mendes F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Carvalho+E%22">Carvalho E</searchLink>; INEGI, Instituto de Ciência E Inovação Em Engenharia Mecânica E Engenharia Industrial, Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Rajan+R%22">Rajan R</searchLink>; Institute of Systems Molecular and Integrated Biology, The University of Liverpool, Liverpool, UK.<br /><searchLink fieldCode="AU" term="%22Santos+A%22">Santos A</searchLink>; Faculty of Medicine, University of Porto, Porto, Portugal.; DigestAID, Digestive Artificial Intelligence Development, Porto, Portugal.<br /><searchLink fieldCode="AU" term="%22Khan+Z%22">Khan Z</searchLink>; Department of Colorectal Surgery, Liverpool University Hospital NHS Foundation Trust, Liverpool, UK.<br /><searchLink fieldCode="AU" term="%22Blake+I%22">Blake I</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Ahmed+S%22">Ahmed S</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229613614%22">Techniques in coloproctology</searchLink> [Tech Coloproctol] 2026 May 14; Vol. 30 (1). <i>Date of Electronic Publication: </i>2026 May 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+Italia%22">Springer-Verlag Italia </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>9613614 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1128-045X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211236337%22">11236337 </searchLink><i>NLM ISO Abbreviation: </i>Tech Coloproctol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42133104 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10151-026-03333-5 Languages: – Code: eng Text: English Titles: – TitleFull: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Javed MA – PersonEntity: Name: NameFull: Mascarenhas M – PersonEntity: Name: NameFull: Mendes F – PersonEntity: Name: NameFull: Carvalho E – PersonEntity: Name: NameFull: Rajan R – PersonEntity: Name: NameFull: Santos A – PersonEntity: Name: NameFull: Khan Z – PersonEntity: Name: NameFull: Blake I – PersonEntity: Name: NameFull: Ahmed S IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 05 Text: 2026 May 14 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1128-045X Numbering: – Type: volume Value: 30 – Type: issue Value: 1 Titles: – TitleFull: Techniques in coloproctology Type: main |
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