Evidence map›Paper›PMID 38610854›Full record

ArticleJournal of clinical medicine2024

Artificial Intelligence-Based Diagnostic Support System for Patent Ductus Arteriosus in Premature Infants.

Seoyeon Park, Junhyung Moon, Hoseon Eun, Jin-Hyuk Hong, Kyoungwoo Lee

Open access · goldAbstract 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
2.4field-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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. [Research progress in artificial intelligence for the diagnosis and management of diseases in preterm infants].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Review
  2. Review
  3. Development and Validation of a Novel Deep Learning Model to Predict Pharmacologic Closure of Patent Ductus Arteriosus in Premature Infants.Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · 2025
    Article
  4. Review
  5. Article
  6. 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 2 institutions in 1 country.

Seoyeon ParkDepartment of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea.ORCID 0000-0002-5894-9652
Junhyung MoonDepartment of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea.ORCID 0000-0001-6719-7934
Hoseon EunDepartment of Pediatrics, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seoul 03722, Republic of Korea.
Jin-Hyuk HongSchool of Integrated Technology, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Gwangju 61005, Republic of Korea.
Kyoungwoo LeeDepartment of Computer Science, Yonsei University, 50 Yonsei-ro, Seoul 03722, Republic of Korea.
Yonsei University · KRGwangju Institute of Science and Technology · KR

Funding

Institute of Information & communications Technology Planning & Evaluation (IITP) by Korean government 2020-0-01361-003
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

diagnostic support systemelectronic health recordmachine learningpatent ductus arteriosuspremature infant

Identifiers

PMID38610854
PMCPMC11012712
OpenAlexW4393854451

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.