Evidence map›Paper›PMID 37416468›Full record

ArticleiScience2023

Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring.

Hasaan Hayat, Rui Wang, Aixia Sun, Christiane L Mallett, Saumya Nigam, Nathan Redman, Demarcus Bunn, Elvira Gjelaj, Nazanin Talebloo, Adam Alessio and 5 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Machine Learning and Deep Learning Applications in Magnetic Particle Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  3. Article
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 at 1 institution in 1 country.

Hasaan HayatPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Rui WangDepartment of Mathematics, College of Natural Science, Michigan State University, East Lansing, MI, USA.
Aixia SunPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Christiane L MallettDepartment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Saumya NigamPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Nathan RedmanInstitute for Quantitative Health Science and Engineering, Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA.
Demarcus BunnInstitute for Quantitative Health Science and Engineering, Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA.
Elvira GjelajPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Nazanin TaleblooPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Adam AlessioDepartment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Anna MoorePrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Kurt ZinnDepartment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Guo-Wei WeiDepartment of Mathematics, College of Natural Science, Michigan State University, East Lansing, MI, USA.
Jinda FanDepartment of Radiology, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Ping WangPrecision Health Program, Michigan State University, 766 Service Road, Rm. 2020, East Lansing, MI 48823, USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods of

Indexed as

Artificial intelligence applicationsCell biology

Identifiers

PMID37416468
PMCPMC10319838
OpenAlexW4379931551

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.