Evidence map›Paper›PMID 40800341›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood.

Anna Zapaishchykova, Divyanshu Tak, Zezhong Ye, Kevin X Liu, Jirapat Likitlersuang, Sridhar Vajapeyam, Rishi B Chopra, Jakob Seidlitz, Richard A I Bethlehem, Raymond H Mak and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Anna ZapaishchykovaArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Divyanshu TakArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Zezhong YeArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Kevin X LiuDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jirapat LikitlersuangArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Sridhar VajapeyamDepartment of Radiology, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Rishi B ChopraDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jakob SeidlitzDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States.
Richard A I BethlehemDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Raymond H MakArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Sabine MuellerDepartment of Neurology, Neurosurgery and Pediatric, University of California, San Francisco, San Francisco, CA, United States.
Daphne A Haas-KoganDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Tina Y PoussaintDepartment of Radiology, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Hugo J W L AertsArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.
Benjamin H KannArtificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep learning (DL)-based prediction of biological age in the developing human from a brain magnetic resonance imaging (MRI) ("

Indexed as

brain agebrain volumetricsdeep learningmagnetic resonance imagingneuroimagingregression diffusion models

Identifiers

PMID40800341
PMCPMC12247581

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.