Evidence map›Paper›PMID 33937782›Full record

ArticleRadiology. Artificial intelligence2019

Combination of Active Transfer Learning and Natural Language Processing to Improve Liver Volumetry Using Surrogate Metrics with Deep Learning.

Brett Marinelli, Martin Kang, Michael Martini, John R Zech, Joseph Titano, Samuel Cho, Anthony B Costa, Eric K Oermann

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

Article in Radiology. Artificial intelligence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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  7. The Effect of Image Resolution on Deep Learning in Radiography.Radiology. Artificial intelligence · 2020
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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

8 authors at 1 institution in 1 country.

Brett MarinelliDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Martin KangDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Michael MartiniDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).ORCID 0000-0001-8169-7679
John R ZechDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Joseph TitanoDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Samuel ChoDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Anthony B CostaDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Eric K OermannDepartments of Radiology (B.M., M.K., M.M., J.T.), Orthopedic Surgery (S.C.), and Neurological Surgery (A.B.C., E.K.O.), Mount Sinai Health System, 1468 Madison Ave, Annenberg Building, 8th Floor, New York, NY 10029; and Department of Medicine, California Pacific Medical Center, San Francisco, Calif (J.R.Z.).
Mount Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine if weakly supervised learning with surrogate metrics and active transfer learning can hasten clinical deployment of deep learning models. MATERIALS AND

methodsBy leveraging Liver Tumor Segmentation (LiTS) challenge 2017 public data (

resultsData from patients with poor liver volume prediction (

conclusionActive transfer learning using surrogate metrics facilitated deployment of deep learning models for clinically meaningful liver segmentation at a major liver transplant center.© RSNA, 2019

Identifiers

PMID33937782
PMCPMC8017413
OpenAlexW2913347479

What OpenQuestion holds

Textmetadata
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.