Evidence map›Paper›PMID 41395171›Full record

ArticleJournal of clinical and translational science2025

Key takeaways from Stanford's symposium on AI for Data Science.

Manisha Desai, John Auerbach, Laurence Baker, Jade Benjamin-Chung, Melissa Bondy, Mary Boulos, Bryan J Bunning, Ni Deng, Steven N Goodman, Ivor Horn and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Manisha DesaiQuantitative Sciences Unit, Biostatistics Section, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-6949-2651
John AuerbachICF International, Reston, VA, USA.
Laurence BakerDepartment of Health Policy, Stanford University School of Medicine, Stanford, CA, USA.
Jade Benjamin-ChungDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Melissa BondyDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Mary BoulosQuantitative Sciences Unit, Biostatistics Section, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Bryan J BunningDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0003-3092-0038
Ni DengQuantitative Sciences Unit, Biostatistics Section, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Steven N GoodmanDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Ivor HornBoard of Trustees, Boston Children's Hospital, Boston, MA, USA.
Eleni LinosDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Mark A MusenCenter for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lee SandersDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Nigam ShahDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Sara SingerDepartment of Health Policy, Stanford University School of Medicine, Stanford, CA, USA.
Michelle WilliamsDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
James ZouDepartment of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA.
Michael PencinaDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

Funding

Stanford Center for Clinical and Translational Research and EducationUM1TR004921 · NCATS · STANFORD UNIVERSITY · PI MANISHA DESAI, DEAN W FELSHER · 2024 to 2026
$30.1M
NCATS NIH HHS UM1 TR004921
6 · The paper itself

Abstract

Numerous symposia and conferences have been held to discuss the promise of Artificial Intelligence (AI). Many center on its potential to transform fields like health and medicine, law, education, business, and more. Further, while many AI-focused events include those data scientists involved in developing foundational models, to our knowledge, there has been little attention on AI's role for data science and the data scientist. In a new symposium series with its inaugural debut in December 2024 titled

Indexed as

Artificial intelligencedata scienceeducation and trainingpublic healthrigor and reproducibility

Identifiers

PMID41395171
PMCPMC12695503

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.