Evidence map›Paper›PMID 33562764›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.

Yejin Jeon, Kyeorye Lee, Leonard Sunwoo, Dongjun Choi, Dong Yul Oh, Kyong Joon Lee, Youngjune Kim, Jeong-Whun Kim, Se Jin Cho, Sung Hyun Baik and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

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  8. The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2023
    Review
  9. A Scoping Review of Artificial Intelligence Research in Rhinology.American journal of rhinology & allergy · 2023
    Article
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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

15 authors at 3 institutions in 1 country.

Yejin JeonDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0002-0077-9232
Kyeorye LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Leonard SunwooDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0003-0374-8658
Dongjun ChoiDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Dong Yul OhDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Kyong Joon LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Youngjune KimAerospace Medical Group, Air Force Education and Training Command, Jinju 52634, Korea.
Jeong-Whun KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Se Jin ChoDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Sung Hyun BaikDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0003-3738-8988
Roh-Eul YooDepartment of Radiology, Seoul National University Hospital, Seoul 03080, Korea.
Yun Jung BaeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0002-1779-4949
Byung Se ChoiDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0001-6310-1798
Cheolkyu JungDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0002-8862-7347
Jae Hyoung KimDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Seoul National University Bundang Hospital · KRKorea Air Force Academy · KRSeoul National University Hospital · KR

Funding

National Research Foundation of Korea NRF-2015R1C1A1A02037475National Research Foundation of Korea NRF-2018R1C1B6007917Seoul National University Bundang Hospital Research Fund 02-2017-029
6 · The paper itself

Abstract

Accurate image interpretation of Waters' and Caldwell view radiographs used for sinusitis screening is challenging. Therefore, we developed a deep learning algorithm for diagnosing frontal, ethmoid, and maxillary sinusitis on both Waters' and Caldwell views. The datasets were selected for the training and validation set (

Indexed as

artificial intelligencedeep learningmachine learningmulti-view radiographsparanasal sinusitis

Identifiers

PMID33562764
PMCPMC7914751
OpenAlexW3127591520

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.