Evidence map›Paper›PMID 41781626›Full record

ArticleNature2026

Merlin: a computed tomography vision-language foundation model and dataset.

Louis Blankemeier, Ashwin Kumar, Joseph Paul Cohen, Jiaming Liu, Longchao Liu, Dave Van Veen, Syed Jamal Safdar Gardezi, Hongkun Yu, Magdalini Paschali, Zhihong Chen and 30 more

Abstract read
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Systematic evaluation of foundation models for organ-level classification on CT scans.International journal of computer assisted radiology and surgery · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. A generalizable deep learning system for cardiac MRI.Nature biomedical engineering · 2026
    Article
  20. State of clinical AI in 2026.BMJ digital health & AI · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

40 authors.

Louis Blankemeier *Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Ashwin Kumar *Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0002-9859-4275
Joseph Paul CohenStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Jiaming LiuStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Longchao LiuComputational Precision Health, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0009-0006-0257-9628
Dave Van VeenDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Syed Jamal Safdar GardeziDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Hongkun YuDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA.
Magdalini PaschaliStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4967-3137
Zhihong ChenStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0009-5756-9824
Jean-Benoit DelbrouckStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Eduardo ReisStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Robbie HollandStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Cesar TruytsDepartment of Radiology, Hospital Israelita Albert Einstein, San Paulo, Brazil.
Christian BluethgenStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7321-5676
Yufu WuDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan City, Taiwan.
Long LianDepartment of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-6098-189X
Malte Engmann Kjeldskov JensenStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Sophie OstmeierStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Maya VarmaStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0693-7753
Jeya Maria Jose ValanarasuStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Zhongnan FangStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3463-7766
Zepeng HuoDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
Zaid NabulsiGoogle, Mountain View, CA, USA.
Diego ArdilaGoogle, Mountain View, CA, USA.
Wei-Hung WengGoogle, Mountain View, CA, USA.ORCID http://orcid.org/0000-0003-2232-0390
Edson Amaro JuniorDepartment of Radiology, Hospital Israelita Albert Einstein, San Paulo, Brazil.ORCID http://orcid.org/0000-0002-5889-1382
Neera AhujaDepartment of Medicine, Stanford University, Stanford, CA, USA.
Jason FriesDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Nigam H ShahStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9385-7158
Greg ZaharchukStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Marc WillisDepartment of Radiology, Stanford University, Stanford, CA, USA.
Adam YalaComputational Precision Health, University of California, Berkeley, Berkeley, CA, USA.
Andrew JohnstonDepartment of Radiology, Stanford University, Stanford, CA, USA.
Robert D BoutinDepartment of Radiology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7887-9658
Andrew WentlandDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0003-1736-8218
Curtis P LanglotzStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8972-8051
Jason HomDepartment of Medicine, Stanford University, Stanford, CA, USA.
Sergios GatidisStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA.
Akshay S ChaudhariStanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Stanford, CA, USA. akshaysc@stanford.edu.ORCID http://orcid.org/0000-0002-3667-6796

Funding

Rapid MRI for Evaluation of OsteoarthritisR01EB002524 · NIBIB · STANFORD UNIVERSITY · PI Akshay Chaudhari, Garry E Gold · 2003 to 2026
$10.1M
TR&D Project 3: OpenSim for PredictionP41EB027060 · NIBIB · STANFORD UNIVERSITY · PI Joy P Ku · 2020 to 2026
$9.7M
RADX TECH - CERES NANOSCIENCE INC NANOTRAP PARTICLE MANUFACTURING75N92020C00021 · NHLBI · CERES NANOSCIENCES, LLLP · PI DUNLAP, ROSS · 2021 to 2021
$4.0M
Resource CoreP50HD118632 · NICHD · STANFORD UNIVERSITY · PI SCOTT L DELP, Jennifer Lee Hicks · 2025 to 2026
$3.9M
Rapid Low-Cost Quantitative 3D MRI and Gait Assessment of the KneeR01AR077604 · NIAMS · STANFORD UNIVERSITY · PI HARGREAVES, BRIAN ANDREW · 2020 to 2024
$3.2M
Imaging of Joint Response to Physiological Stress with Age, Sex and in OsteoarthritisR01AR079431 · NIAMS · STANFORD UNIVERSITY · PI Feliks Kogan · 2022 to 2026
$2.9M
Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep LearningR01HL167974 · NHLBI · STANFORD UNIVERSITY · PI Imon Banerjee, Akshay Chaudhari · 2023 to 2026
$2.4M
Novel Incidental Calcium Evaluation (NICE)R01HL169345 · NHLBI · STANFORD UNIVERSITY · PI Imon Banerjee, Akshay Chaudhari · 2024 to 2026
$2.1M
NHLBI NIH HHS 75N92020C00021NHLBI NIH HHS R01 HL167974NHLBI NIH HHS R01 HL169345NIAMS NIH HHS R01 AR077604NIAMS NIH HHS R01 AR079431NIBIB NIH HHS P41 EB027060NIBIB NIH HHS R01 EB002524NICHD NIH HHS P50 HD118632
6 · The paper itself

Abstract

The large volume of abdominal computed tomography (CT) scans

Indexed as

Machine LearningTomography, X-Ray ComputedDatasets as TopicElectronic Health RecordsHumans

Identifiers

PMID41781626
PMCPMC13082451

What OpenQuestion holds

Textmetadata
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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.