Evidence map›Paper›PMID 39779851›Full record

ArticleNature2025

A vision-language foundation model for precision oncology.

Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, Yinghua Xi, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin Bergstrom, Matthew Gopaulchan, Ted Kim and 8 more

Abstract read
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 3 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

136 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Large Language Models in Lung Cancer: Systematic Review.Journal of medical Internet research · 2025
    Pooled it
  3. Pooled it
  4. A Facial Foundation Model for Clinical Biomarker Prediction and Real-World Mobile Deployment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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76 more citing papers are in PubMed but not listed here.

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.

Jinxi Xiang *Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-5476-3690
Xiyue Wang *Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3597-9090
Xiaoming ZhangDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Yinghua XiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Feyisope EwejeDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Yijiang ChenDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Yuchen LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Colin BergstromDepartment of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-3271-0915
Matthew GopaulchanDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Ted KimDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Kun-Hsing YuDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9892-8218
Sierra WillensDepartment of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA.
Francesca Maria OlguinDepartment of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey J NirschlDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-6857-341X
Joel NealDepartment of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-3119-9334
Maximilian DiehnDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2032-0581
Sen YangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. seny@stanford.edu.ORCID 0000-0002-0639-4122
Ruijiang LiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA. rli2@stanford.edu.ORCID 0000-0002-0232-5998

Funding

Precision imaging for risk stratification and personalized therapy of oropharyngeal cancerR01DE030894 · NIDCR · STANFORD UNIVERSITY · PI Quynh-Thu Xuan Le, Ruijiang Li · 2022 to 2026
$3.0M
Imaging and circulating DNA markers to assess early response and predict treatment failure patterns in lung cancerR01CA233578 · NCI · STANFORD UNIVERSITY · PI DIEHN, MAXIMILIAN, LI, RUIJIANG · 2019 to 2023
$2.7M
Multiregional imaging phenotypes and molecular correlates of aggressive versus indolent breast cancerR01CA222512 · NCI · STANFORD UNIVERSITY · PI LI, RUIJIANG · 2018 to 2023
$2.4M
Robust, Generalizable, and Fair Machine Learning Models for BiomedicineR35GM142879 · NIGMS · HARVARD MEDICAL SCHOOL · PI YU, KUN-HSING · 2021 to 2025
$2.4M
Computational imaging approaches to personalized gastric cancer treatmentR01CA269559 · NCI · STANFORD UNIVERSITY · PI Ruijiang Li · 2023 to 2026
$2.3M
Mitigating Hematologic Adverse Events in Patients with Myeloid Malignancies: A Novel Causal Artificial Intelligence ApproachR01HL174679 · NHLBI · HARVARD MEDICAL SCHOOL · PI Kun-Hsing Yu · 2024 to 2026
$2.3M
Noninvasive imaging and blood biomarkers for personalized lung cancer immunotherapyR01CA290715 · NCI · STANFORD UNIVERSITY · PI Maximilian Diehn, Ruijiang Li · 2024 to 2026
$1.9M
MRI and blood biomarkers of neoadjuvant therapy response and outcomes in rectal cancerR01CA285456 · NCI · STANFORD UNIVERSITY · PI Ruijiang Li · 2024 to 2026
$1.6M
NCI NIH HHS R01 CA222512NCI NIH HHS R01 CA233578NCI NIH HHS R01 CA269559NCI NIH HHS R01 CA285456NCI NIH HHS R01 CA290715NHLBI NIH HHS R01 HL174679NIDCR NIH HHS R01 DE030894NIGMS NIH HHS R35 GM142879
6 · The paper itself

Abstract

Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care

Indexed as

Artificial IntelligenceMedical OncologyNeoplasmsPrecision MedicineClinical Decision-MakingHumansImmunotherapyLung NeoplasmsMelanomaPrognosis

Identifiers

PMID39779851
PMCPMC12295649

What OpenQuestion holds

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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.