Evidence map›Paper›PMID 39677476›Full record

ArticlemedRxiv : the preprint server for health sciences2025

ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine.

Ruth Johnson, Uri Gottlieb, Galit Shaham, Lihi Eisen, Jacob Waxman, Stav Devons-Sberro, Curtis R Ginder, Peter Hong, Raheel Sayeed, Xiaorui Su and 4 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

14 authors.

Ruth JohnsonThe Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA.
Uri GottliebClalit Research Institute, Innovation Division, Clalit Health Services, Ramat-Gan, Israel.
Galit ShahamClalit Research Institute, Innovation Division, Clalit Health Services, Ramat-Gan, Israel.
Lihi EisenClalit Research Institute, Innovation Division, Clalit Health Services, Ramat-Gan, Israel.
Jacob WaxmanClalit Research Institute, Innovation Division, Clalit Health Services, Ramat-Gan, Israel.
Stav Devons-SberroClalit Research Institute, Innovation Division, Clalit Health Services, Ramat-Gan, Israel.
Curtis R GinderCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Peter HongDivision of General Pediatrics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-1148-8027
Raheel SayeedDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Xiaorui SuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Ben Y ReisThe Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA.
Ran D BalicerThe Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA.
Noa DaganThe Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA.
Marinka ZitnikThe Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute, Boston, MA, USA.ORCID 0000-0001-8530-7228

Funding

Measuring Neonatal RegionalizationR01HD108794 · NICHD · STANFORD UNIVERSITY · PI Jochen Profit, JEANNETTE A ROGOWSKI · 2023 to 2026
$2.8M
NICHD NIH HHS R01 HD108794
6 · The paper itself

Abstract

Integrating structured clinical knowledge into artificial intelligence (AI) models remains a major challenge. Medical codes primarily reflect administrative workflows rather than clinical reasoning, limiting AI models' ability to capture true clinical relationships and undermining their generalizability. To address this, we introduce

Identifiers

PMID39677476
PMCPMC11643188

What OpenQuestion holds

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LicenceCC BY-ND
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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.