Reference health

Vision Language Model for Report Generation and Outcome Prediction in CT Pulmonary Angiogram

https://doi.org/10.2139/ssrn.5021338
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13/13 checkable references clean · checked 2026-08-29

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

26 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 13 checked references that resolve
resolves10.1053/j.jvca.2021.09.050
Evolving Management Trends and Outcomes in Catheter Management of Acute Pulmonary Embolism
resolves10.1148/radiol.11114045
American Thoracic Society Documents: An Official American Thoracic Society/Society of Thoracic Radiology Clinical Practice Guideline—Evaluation of Suspected Pulmonary Embolism in Pregnancy
resolves10.1016/j.ejim.2010.04.005
Delay and misdiagnosis in sub-massive and non-massive acute pulmonary embolism
resolves10.1136/bmjopen-2016-012789
Clinical characteristics associated with diagnostic delay of pulmonary embolism in primary care: a retrospective observational study
resolves10.1056/NEJMoa052367
Multidetector Computed Tomography for Acute Pulmonary Embolism
resolves10.1164/rccm.200506-862OC
Derivation and Validation of a Prognostic Model for Pulmonary Embolism
resolves10.1038/s41598-023-34303-8
Multimodal fusion models for pulmonary embolism mortality prediction
resolves10.1038/s41591-023-02448-8
Large language models in medicine
resolves10.2214/AJR.21.26646
Pulmonary CTA Reporting: <i>AJR</i> Expert Panel Narrative Review
resolves10.1186/s12874-018-0482-1
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
resolves10.1002/sim.4780030207
Regression modelling strategies for improved prognostic prediction
resolves10.1080/01621459.1958.10501452
Nonparametric Estimation from Incomplete Observations
resolves10.1186/s41747-020-00173-2
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
The 26 references without a DOI — listed, not checked
no DOI — not checkedVenous thromboembolism: a public health concern
no DOI — not checkedSymposium: Embolism in the intensive care unit
no DOI — not checkedPulmonary embolism, part I: Epidemiology, risk factors and risk stratification, pathophysiology, clinical presentation, diagnosis and nonthrombotic pulmonary embolism
no DOI — not checkedref12
no DOI — not checkedLarge language models in healthcare and medical domain: A review
no DOI — not checkedref14
no DOI — not checkedref15
no DOI — not checkedref16
no DOI — not checkedMulti-modal large language models in radiology: principles, applications, and potential
no DOI — not checkedMultimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology
no DOI — not checkedref19
no DOI — not checkedClinical and imaging aspects of pulmonary embolism: a primer for radiologists
no DOI — not checkedref22
no DOI — not checkedQuo vadis, action recognition? a new model and the kinetics dataset
no DOI — not checkedref24
no DOI — not checkedCox proportional-hazards regression for survival data
no DOI — not checkedORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation
no DOI — not checkedref28
no DOI — not checkedref29
no DOI — not checkedref30
no DOI — not checkedref33
no DOI — not checkedref34
no DOI — not checkedref35
no DOI — not checkedref37
no DOI — not checkedA large language model for electronic health records
no DOI — not checkedCox proportional-hazards regression for survival data
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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