Evidence map›Paper›PMID 39685568›Full record

ArticleJournal of clinical medicine2024

Evaluation of the Diagnostic Efficacy of the AI-Based Software INF-M01 in Detecting Suspicious Areas of Bladder Cancer Using Cystoscopy Images.

Jongchan Kim, Won Sik Ham, Kyo Chul Koo, Jongsoo Lee, Hyun Kyu Ahn, Jae Yong Jeong, Sang Yeop Baek, Su Jin Lee, Kwang Suk Lee

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
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

9 authors.

Jongchan KimDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-0022-6689
Won Sik HamDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0003-2246-8838
Kyo Chul KooDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0001-7303-6256
Jongsoo LeeDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-9984-1138
Hyun Kyu AhnDepartment of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.ORCID 0000-0002-1996-6249
Jae Yong JeongDepartment of Urology, National Health Insurance Service Ilsan Hospital, Goyang 10444, Republic of Korea.
Sang Yeop BaekInfinyx Corporation, Daegu 42988, Republic of Korea.
Su Jin LeeInfinyx Corporation, Daegu 42988, Republic of Korea.
Kwang Suk LeeDepartment of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.ORCID 0000-0002-7961-8393

Funding

Korea Medical Device Development Fund Project Number: 1711179415, RS-2022-00155603
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebladder cancercystoscopy

Identifiers

PMID39685568
PMCPMC11642196

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.