Evidence map›Paper›PMID 33076511›Full record

ReviewJournal of clinical medicine2020

Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer.

Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

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  17. Diagnostics (Basel, Switzerland) · 2023
    Article
  18. Review
  19. Review
  20. The Present and Future of Colorectal Cancer Screening.Gastroenterology & hepatology · 2022
    Article
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

10 authors.

Hemant GoyalDepartment of Internal Medicine, The Wright Center for Graduate Medical Education, Scranton, PA 18505, USA.
Rupinder MannSaint Agnes Medical Center, Fresno, CA 93720, USA.
Zainab GandhiDepartment of Medicine, Geisinger Community Medical Center, Scranton, PA 18510, USA.ORCID 0000-0002-7214-4981
Abhilash PerisettiDepartment of Gastroenterology and Hepatology, The University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-4074-6395
Aman AliDivision of Gastroenterology, The Commonwealth Medical College, Wilkes Barre General Hospital, Wilkes-Barre, PA 18764, USA.
Khizar Aman AliDigestive Care Associates, Kingston, PA 18704, USA.
Neil SharmaDivision of Interventional Oncology & Surgical Endoscopy (IOSE), Parkview Cancer Institute, Fort Wayne, IN 46845, USA.
Shreyas SaligramDepartment of Medicine, University of Texas Health San Antonio, San Antonio, TX 78229, USA.
Benjamin TharianGeneral and Advanced Endoscopy, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Sumant InamdarAdvanced Endoscopy Fellowship, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods has shown promising colorectal cancer screening results. AI could provide a "second look" for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.

Indexed as

artificial intelligencecolon cancercolonoscopycolorectal cancercomputer-aided diagnosispolypscreening

Identifiers

PMID33076511
PMCPMC7602532

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.