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Analysis of institutional authors

Meseguer, PAuthorNaranjo, VAuthor

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October 11, 2024
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Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease

Publicated to:Lancet Gastroenterology & Hepatology. 9 (8): 758-772 - 2024-08-01 9(8), DOI: 10.1016/S2468-1253(24)00053-0

Authors: Iacucci, Marietta; Santacroce, Giovanni; Zammarchi, Irene; Maeda, Yasuharu; Del Amor, Rocko; Meseguer, Pablo; Kolawole, Bisi Bode; Chaudhari, Ujwala; Di Sabatino, Antonio; Danese, Silvio; Mori, Yuichi; Grisan, Enrico; Naranjo, Valery; Ghosh, Subrata

Affiliations

London South Bank Univ, Sch Engn - Author
San Matteo Hosp Fdn, Dept Internal Med 1 - Author
Showa Univ, Northern Yokohama Hosp, Digest Dis Ctr - Author
Univ Coll Cork, Coll Med & Hlth, APC Microbiome Ireland - Author
Univ Politecn Valencia, Inst Invest & Innovac Bioingn, HUMAN tech - Author
Univ Vita Salute San Raffaele - Author
Valencian Grad Sch & Res Network Artificial Intell - Author
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Abstract

Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to revolutionise clinical practice and research. Artificial intelligence harnesses advanced algorithms to deliver accurate assessments of IBD endoscopy and histology, offering precise evaluations of disease activity, standardised scoring, and outcome prediction. Furthermore, artificial intelligence offers the potential for a holistic endo-histo-omics approach by interlacing and harmonising endoscopy, histology, and omics data towards precision medicine. The emerging applications of artificial intelligence could pave the way for personalised medicine in IBD, offering patient stratification for the most beneficial therapy with minimal risk. Although artificial intelligence holds promise, challenges remain, including data quality, standardisation, reproducibility, scarcity of randomised controlled trials, clinical implementation, ethical concerns, legal liability, and regulatory issues. The development of standardised guidelines and interdisciplinary collaboration, including policy makers and regulatory agencies, is crucial for addressing these challenges and advancing artificial intelligence in IBD clinical practice and trials.

Keywords

Artificial intelligenceChallengesClinical-trialsColonoscopyComputer-aided diagnosisCrohns-diseaseDeepEndoscopy, gastrointestinalHumansImagesInflammatory bowel diseasesIntegrationNetworkPrecision medicineSurveillance

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Lancet Gastroenterology & Hepatology due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 2/143, thus managing to position itself as a Q1 (Primer Cuartil), in the category Gastroenterology & Hepatology. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-08:

  • WoS: 14
  • Scopus: 3
  • Europe PMC: 2

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-08:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 33.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 44 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 18.
  • The number of mentions on the social network Facebook: 1 (Altmetric).
  • The number of mentions on the social network X (formerly Twitter): 34 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Italy; Japan; Norway; United Kingdom.