Evidence map›Paper›PMID 30617323›Full record

ArticleNature medicine2019

Identifying facial phenotypes of genetic disorders using deep learning.

Yaron Gurovich, Yair Hanani, Omri Bar, Guy Nadav, Nicole Fleischer, Dekel Gelbman, Lina Basel-Salmon, Peter M Krawitz, Susanne B Kamphausen, Martin Zenker and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
306citing papers in PubMed, 6 pooled it
24.1field-weighted citation impact, top 1% 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

306 citing papers in PubMed, 6 syntheses or guidelines pooled it, 710 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. A Facial Foundation Model for Clinical Biomarker Prediction and Real-World Mobile Deployment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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246 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 3 countries.

Yaron GurovichFDNA Inc., Boston, MA, USA. yaron@fdna.com.ORCID http://orcid.org/0000-0002-9474-3846
Yair HananiFDNA Inc., Boston, MA, USA.
Omri BarFDNA Inc., Boston, MA, USA.
Guy NadavFDNA Inc., Boston, MA, USA.
Nicole FleischerFDNA Inc., Boston, MA, USA.
Dekel GelbmanFDNA Inc., Boston, MA, USA.
Lina Basel-SalmonSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Peter M KrawitzInstitute for Genomic Statistic and Bioinformatics, University Hospital Bonn, Rheinische-Friedrich-Wilhelms University, Bonn, Germany.ORCID http://orcid.org/0000-0002-3194-8625
Susanne B KamphausenInstitute of Human Genetics, University Hospital Magdeburg, Magdeburg, Germany.
Martin ZenkerInstitute of Human Genetics, University Hospital Magdeburg, Magdeburg, Germany.
Lynne M BirdDepartment of Pediatrics, University of California San Diego, San Diego, CA, USA.
Karen W GrippDivision of Medical Genetics, A. I. du Pont Hospital for Children/Nemours, Wilmington, DE, USA.
University Hospital Magdeburg · DEFairfax Neonatal Associates · USTel Aviv University · ILUniversity Hospital Bonn · DEUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syndromic genetic conditions, in aggregate, affect 8% of the population

Indexed as

Deep LearningFaciesAlgorithmsGenetic Diseases, InbornGenotypeHumansImage Processing, Computer-AssistedPhenotypeSyndrome

Identifiers

PMID30617323
OpenAlexW2905441841

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.