Evidence map›Paper›PMID 35356617›Full record

ArticleJournal of healthcare engineering2022

Clinical Research on Gastrointestinal Surgery Based on Smart Medicine.

Yang Lu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Yang LuThe Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310000, Zhejiang, China.ORCID 0000-0003-3363-6729
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart medical technology uses the medical information platform, with the help of current technical means, so that the information between medical staff and medical equipment can be shared. The combination of current technology and the medical field has become the norm. In the future, more artificial intelligence technologies will be incorporated in the medical field to promote the development of medical undertakings. At present, the information on the Internet is very large and complex, and general search engines often do not have knowledge in certain professional fields and can only perform shallow keyword searches, so it is difficult to meet people's medical diagnostic needs. Smart medical technology can solve the problem of these needs. Surgery, commonly known as operation, refers to the process of entering the body to change the condition of the disease through technical means and under the guidance of professionals. Earlier operations only performed cutting on the body surface. With the continuous maturity of surgical operations, operations can now be performed on any part, but manual operations are still the main one. In addition to manual surgery, there are many machine surgeries, such as laser surgeries. Clinical research takes the diagnosis and treatment of diseases as the main content, takes patients as the research object, and is a scientific research activity involving multiple personnel. This article aimed to study the clinical research of gastrointestinal surgery based on smart medicine and hoped to use smart medical technology to improve the clinical research level of gastrointestinal surgery and provide technical support for surgery. This study proposes to apply natural language processing technology to the medical field, build an intelligent diagnostic auxiliary system, and use the existing medical record data to realize the corresponding medical auxiliary function. The research measures and analyzes the basic information of medical students, the incidence of functional gastrointestinal disease, the incidence of common symptoms of functional gastrointestinal disease, and the differential distribution of various symptoms in different professions, genders, and ages. The experimental results of this article show that there are 27 cases of gastrointestinal bleeding, accounting for 18%; 10 cases of dysphagia, accounting for 7%; 78 cases of abdominal pain and bloating, accounting for 53%; and 19 cases of melena, accounting for 13%. Abdominal pain and bloating are the most common clinical manifestations of the gastrointestinal tract and require more attention.

Indexed as

Digestive System Surgical ProceduresArtificial IntelligenceFemaleGastrointestinal TractHumansMaleTechnology

Identifiers

PMID35356617
PMCPMC8959994
OpenAlexW4225695318

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.