Evidence map›Paper›PMID 30104767›Full record

ArticleNature medicine2018

Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Joseph J Titano, Marcus Badgeley, Javin Schefflein, Margaret Pain, Andres Su, Michael Cai, Nathaniel Swinburne, John Zech, Jun Kim, Joshua Bederson and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 188 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
188citing papers in PubMed, 7 pooled it
–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

188 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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128 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Joseph J TitanoDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Marcus BadgeleyDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
Javin ScheffleinDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Margaret PainDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
Andres SuDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Michael CaiDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Nathaniel SwinburneDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0001-5831-7287
John ZechDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Jun KimDepartment of Orthopedic Surgery, Icahn School of Medicine, New York, NY, USA.
Joshua BedersonDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
J MoccoDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
Burton DrayerDepartment of Radiology, Icahn School of Medicine, New York, NY, USA.
Joseph LeharBioengineering and Bioinformatics, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7743-4366
Samuel ChoDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
Anthony CostaDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA.
Eric K OermannDepartment of Neurological Surgery, Icahn School of Medicine, New York, NY, USA. eric.oermann@mountsinai.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'

Indexed as

Imaging, Three-DimensionalNeural Networks, ComputerAlgorithmsAutomationHumansRandomized Controlled Trials as TopicROC CurveSkullTomography, X-Ray Computed

Identifiers

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.