Evidence map›Paper›PMID 37986726›Full record

ArticleArXiv2024

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen-Mau, Minh-Triet Tran and 15 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2024. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 15 institutions in 6 countries.

Gregory HolsteDepartment of Electrical and Computer Engineering, The University of Texas at Austin, 78712, Austin, TX USA.
Yiliang ZhouDepartment of Population Health Sciences, Weill Cornell Medicine, 10065, New York, NY USA.
Song WangDepartment of Electrical and Computer Engineering, The University of Texas at Austin, 78712, Austin, TX USA.
Ajay JaiswalDepartment of Electrical and Computer Engineering, The University of Texas at Austin, 78712, Austin, TX USA.
Mingquan LinDepartment of Population Health Sciences, Weill Cornell Medicine, 10065, New York, NY USA.
Sherry ZhugeSchool of Information Systems, Carnegie Mellon University, 15213, Pittsburgh, PA USA.
Yuzhe YangDepartment of Electrical Engineering and Computer Science, Massachussetts Institute of Technology, 02139, Cambridge, MA USA.
Dongkyun KimSchool of Computer Science, Carnegie Mellon University, 15213, Pittsburgh, PA USA.
Trong-Hieu Nguyen-MauUniversity of Science, VNU-HCM, 70000, Ho Chi Minh City, Vietnam.
Minh-Triet TranUniversity of Science, VNU-HCM, 70000, Ho Chi Minh City, Vietnam.
Jaehyup JeongKT Research & Development Center, KT Corporation, 06763, Seoul, South Korea.
Wongi ParkDepartment of Software and Computer Engineering, Ajou University, 16499, Suwon, South Korea.
Jongbin RyuDepartment of Software and Computer Engineering, Ajou University, 16499, Suwon, South Korea.
Feng HongCooperative Medianet Innovation Center, Shanghai Jiao Tong University, 200240, Shanghai, China.
Arsh VermaWadhwani Institute for Artificial Intelligence, 400079, Mumbai, India.
Yosuke YamagishiDivision of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, 113-0033, Tokyo, Japan.
Changhyun KimBioMedical AI Team, AIX Future R&D Center, SK Telecom, 04539, Seoul, South Korea.
Hyeryeong SeoInterdisciplinary Program in AI (IPAI), Seoul National University, 02504, Seoul, South Korea.
Myungjoo KangDepartment of Mathematical Sciences, Seoul National University, 02504, Seoul, South Korea.
Leo Anthony CeliLaboratory for Computational Physiology, Massachusetts Institute of Technology, 02139, Cambridge, MA USA.
Zhiyong LuNational Center for Biotechnology Information, National Library of Medicine, 20894, Bethesda, MD USA.
Ronald M SummersClinical Center, National Institutes of Health, 20892, Bethesda, MD USA.
George ShihDepartment of Radiology, Weill Cornell Medicine, 10065, New York, NY USA.
Zhangyang WangDepartment of Electrical and Computer Engineering, The University of Texas at Austin, 78712, Austin, TX USA.
Yifan PengDepartment of Population Health Sciences, Weill Cornell Medicine, 10065, New York, NY USA.
Cornell University · USThe University of Texas at Austin · USAjou University · KRCarnegie Mellon University · USHo Chi Minh City University of Science · VNSeoul National University · KRBeth Israel Deaconess Medical Center · USCentre for Artificial Intelligence and Robotics · INKorea Telecom (South Korea) · KRMassachusetts Institute of Technology · USNational Center for Biotechnology Information · USNational Institutes of Health Clinical Center · USShanghai Jiao Tong University · CNSK Group (South Korea) · KRThe University of Tokyo · JP

Funding

Closing the loop with an automatic referral population and summarization systemR01LM014306 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yifan Peng, Justin Frederick Rousseau · 2023 to 2026
$2.7M
NLM NIH HHS R01 LM014306
6 · The paper itself

Abstract

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" - there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a

Indexed as

Chest X-rayComputer-aided diagnosisLong-tailed learning

Identifiers

PMID37986726
PMCPMC10659524
OpenAlexW4387963576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.