Evidence map›Paper›PMID 35722596›Full record

ArticleFrontline gastroenterology2022

Artificial intelligence and inflammatory bowel disease: practicalities and future prospects.

Johanne Brooks-Warburton, James Ashton, Anjan Dhar, Tony Tham, Patrick B Allen, Sami Hoque, Laurence B Lovat, Shaji Sebastian

Open access · bronzeAbstract read
In one paragraph

Article in Frontline gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 1 country.

Johanne Brooks-WarburtonDepartment of Clinical Pharmacology and Biological Sciences, University of Hertfordshire, Hatfield, UK.ORCID 0000-0003-1705-6476
James AshtonPaediatric Gastroenterology, Southampton University Hospitals NHS Trust, Southampton, UK.
Anjan DharGastroenterology, County Durham & Darlington NHS Foundation Trust, Bishop Auckland, UK.ORCID 0000-0001-8964-2031
Tony ThamDepartment of Gastroenterology, Ulster Hospital, Dundonald, UK.
Patrick B AllenDepartment of Gastroenterology, Ulster Hospital, Dundonald, UK.
Sami HoqueDepartment of Gastroenterology, Barts Health NHS Trust, London, UK.
Laurence B LovatDivision of Surgery & Interventional Science, University College London, London, UK.
Shaji SebastianDepartment of Gastroenterology, Hull University Teaching Hospitals NHS Trust, Hull, UK.
Ulster Hospital · GBBarts Health NHS Trust · GBCounty Durham and Darlington NHS Foundation Trust · GBUniversity College London · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Hertfordshire · GBUniversity of Hull · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is an emerging technology predicted to have significant applications in healthcare. This review highlights AI applications that impact the patient journey in inflammatory bowel disease (IBD), from genomics to endoscopic applications in disease classification, stratification and self-monitoring to risk stratification for personalised management. We discuss the practical AI applications currently in use while giving a balanced view of concerns and pitfalls and look to the future with the potential of where AI can provide significant value to the care of the patient with IBD.

Indexed as

computerised image analysisendoscopygeneticsIBD clinical

Identifiers

PMID35722596
PMCPMC9186028
OpenAlexW4200200462

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.