Evidence map›Paper›PMID 34877212›Full record

ReviewCureus2021

A Review of Applications of Artificial Intelligence in Gastroenterology.

Khalid Nawab, Ravi Athwani, Awais Naeem, Muhammad Hamayun, Momna Wazir

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors at 4 institutions in 2 countries.

Khalid NawabInternal Medicine, Penn State Holy Spirit Hospital, Camp Hill, USA.
Ravi AthwaniInternal Medicine, Penn State Holy Spirit Hospital, Camp Hill, USA.
Awais NaeemInternal Medicine, Khyber Medical University, Peshawar, PAK.
Muhammad HamayunManagement Sciences, Bacha Khan University, Charsadda, PAK.
Momna WazirInternal Medicine, Hayatabad Medical Complex, Peshawar, PAK.
Holy Spirit Hospital · INBacha Khan University · PKHayatabad Medical Complex · PKKhyber Medical University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is the science that deals with creating 'intelligent machines'. AI has revolutionized medicine because of its application in several fields across medicine like radiology, neurology, ophthalmology, orthopedics and gastroenterology. In this review, we intend to summarize the basics of AI, the application of AI in various gastrointestinal pathologies till date as well as challenges/ problems related to the application of AI in medicine. Literature search using keywords like artificial intelligence, gastroenterology, applications, etc. were used. The literature search was done using Google Scholar, PubMed and ScienceDirect. All the relevant articles were gathered and relevant data were extracted from them. We concluded AI has achieved major feats in the past few decades. It has helped clinicians in diagnosing complex diseases, managing treatments as well as in predicting outcomes, all in all, which helps doctors from all over the globe in dispensing better healthcare services.

Indexed as

artificial intelligence in gastroenterologyartificial intelligence in medicineartificial neural networksclinica gastroenterologydeep learning artificial intelligence

Identifiers

PMID34877212
PMCPMC8642128
OpenAlexW3208969105

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.