Evidence map›Paper›PMID 38464350›Full record

ArticleWorld journal of orthopedics2024

Deep learning automation of radiographic patterns for hallux valgus diagnosis.

Angela Hussain, Cadence Lee, Eric Hu, Farid Amirouche

Abstract readEditorial
In one paragraph

Article in World journal of orthopedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Angela HussainDepartment of Orthopaedic Surgery, University of Illinois College of Medicine, Chicago, IL 60612, United States.
Cadence LeeDepartment of Orthopaedic Surgery, University of Illinois College of Medicine, Chicago, IL 60612, United States.
Eric HuDepartment of Orthopaedic Surgery, University of Illinois College of Medicine, Chicago, IL 60612, United States.
Farid AmiroucheDepartment of Orthopaedics Surgery, University of Illinois at Chicago, Chicago, IL 60612, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) and deep learning are becoming increasingly powerful tools in diagnostic and radiographic medicine. Deep learning has already been utilized for automated detection of pneumonia from chest radiographs, diabetic retinopathy, breast cancer, skin carcinoma classification, and metastatic lymphadenopathy detection, with diagnostic reliability akin to medical experts. In the

Indexed as

Artificial intelligenceAutomated radiographyDeep learningHallux valgus

Identifiers

PMID38464350
PMCPMC10921175

What OpenQuestion holds

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LicenceCC BY-NC
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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.