Evidence map›Paper›PMID 30317800›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2018

[Advances in the application of artificial intelligence in cancer diagnosis and treatment].

W D Liu, H B Zhou, H P Hu

Abstract read
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

W D LiuDepartment of Hepatobiliary Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China.
H B Zhou
H P Hu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of artificial intelligence is developing rapidly in various fields with the improvement of computing power, big data processing, and diversity of algorithms. It has a great potential value in the field of medical and healthcare, especially in the field of cancer diagnosis and treatment. In addition, it can analyze a large amount of data, information, and knowledge instantaneously. Therefore, it serves as a powerful tool for doctors to make the best treatment decisions. Notably, the development of science and technology truly transform into the actual interests of patients. This paper introduces advances in the application of artificial intelligence in diagnosis and treatment of cancer through digital pathology, medical imaging, and genomic medicine.

Indexed as

AlgorithmsArtificial IntelligenceDiagnostic ImagingGenomicsHumansNeoplasmsAlgorithmArtificial IntelligenceDeep learningDiagnosisNeoplasmsTherapy

Identifiers

PMID30317800
PMCPMC12769328

What OpenQuestion 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 OpenQuestion graph.