Evidence map›Paper›PMID 36815063›Full record

ArticleAdvances in clinical radiology2022

Musculoskeletal MR Image Segmentation with Artificial Intelligence.

Elif Keles, Ismail Irmakci, Ulas Bagci

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advances in clinical radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

3 authors.

Elif KelesMachine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
Ismail IrmakciMachine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
Ulas BagciMachine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, Feinberg School of Medicine, 737 North Michigan Avenue Suite 1600, Chicago, IL 60611, USA.

Funding

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic TumorsR01CA246704 · NCI · UNIVERSITY OF CENTRAL FLORIDA · PI BAGCI, ULAS · 2020 to 2024
$2.4M
Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and DiagnosisR01CA240639 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BAGCI, ULAS · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA240639NCI NIH HHS R01 CA246704
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceCartilage segmentationDeep learningMRI preprocessingMSK radiologyThigh MRI segmentation

Identifiers

PMID36815063
PMCPMC9943059

What OpenQuestion holds

Textmetadata
LicenceTDM
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.