Evidence map›Paper›PMID 39915678›Full record

ArticleNature medicine2025

The MI-CLAIM-GEN checklist for generative artificial intelligence in health.

Brenda Y Miao, Irene Y Chen, Christopher Y K Williams, Jaysón Davidson, Augusto Garcia-Agundez, Shenghuan Sun, Travis Zack, Suchi Saria, Rima Arnaout, Giorgio Quer and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Validating LLM judges for automated oversight of patient communication.medRxiv : the preprint server for health sciences · 2026
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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

18 authors.

Brenda Y MiaoBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA. miao.brenda1@gmail.com.ORCID http://orcid.org/0000-0002-3393-9837
Irene Y ChenUCSF-UC Berkeley Joint Program in Computational Precision Health, University of California, Berkeley and University of California, San Francisco, Berkeley, CA, USA.
Christopher Y K WilliamsBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8867-1623
Jaysón DavidsonBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Augusto Garcia-AgundezDepartment of Medicine, Division of Rheumatology, University of California, San Francisco, San Francisco, California, USA.
Shenghuan SunBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
Travis ZackBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1620-6455
Suchi SariaBayesian Health, New York, NY, USA.
Rima ArnaoutBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7134-0040
Giorgio QuerScripps Research Translational Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-2208-7912
Hossein J SadaeiScripps Research Translational Institute, La Jolla, CA, USA.
Ali TorkamaniScripps Research Translational Institute, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0232-8053
Brett Beaulieu-JonesDepartment of Medicine, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-6700-1468
Bin YuDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
Milena GianfrancescoDepartment of Medicine, Division of Rheumatology, University of California, San Francisco, San Francisco, California, USA.
Atul J ButteBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7433-2740
Beau Norgeot *Qualified Health PBC, Palo Alto, CA, USA.
Madhumita Sushil *Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.

Funding

Toward efficient performance for deep learning on medical imagingR01HL150394 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rima Arnaout · 2020 to 2026
$6.2M
American Heart Association-American Stroke Association 17IGMV33870001NHLBI NIH HHS R01 HL150394
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID39915678
PMCPMC12207735

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.