Evidence map›Paper›PMID 36984536›Full record

ArticleMedicina (Kaunas, Lithuania)2023

Deep Learning Prediction of

Jinhee Kim, Seokhwan Ko, Moonsik Kim, Nora Jee-Young Park, Hyungsoo Han, Junghwan Cho, Ji Young Park

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Trends in AI-powered Classification of Thyroid Neoplasms Based on Histopathology Images - a Systematic Review.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
    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

7 authors at 2 institutions in 1 country.

Jinhee KimDepartment of Pathology, Kyungpook National University School of Medicine, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0002-0732-1398
Seokhwan KoClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.ORCID 0009-0006-3870-1381
Moonsik KimDepartment of Pathology, Kyungpook National University School of Medicine, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.
Nora Jee-Young ParkDepartment of Pathology, Kyungpook National University School of Medicine, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0002-1857-813X
Hyungsoo HanClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.ORCID 0000-0001-7200-0921
Junghwan ChoClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Ji Young ParkDepartment of Pathology, Kyungpook National University School of Medicine, Kyungpook National University Chilgok Hospital, Daegu 41404, Republic of Korea.ORCID 0000-0002-7571-1064
Kyungpook National University Hospital · KRKyungpook National University · KR

Funding

Brain Pool Program through the National Research Foundation of Korea funded by the Ministry of Science and ICT No.NRF-2020H1D3A2A02102040 & ​2022H1D3A2A01096490the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea HI21C0940the Ministry of Education 2021R1I1A3056903
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningTelomeraseThyroid NeoplasmsHumansMutationPrognosisPromoter Regions, GeneticProto-Oncogene Proteins B-rafProto-Oncogene Proteins B-rafTelomeraseTERT protein, humanCNNcolor transformationCRNNdeep learningTERTthyroid cancer

Identifiers

PMID36984536
PMCPMC10055833
OpenAlexW4323841931

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.