Related Experiment Video

Updated: Dec 12, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.3K

Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using

Shih-Cheng Huang1,2, Tanay Kothari3, Imon Banerjee1,2,4,5

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA USA.

NPJ Digital Medicine
|August 15, 2020
PubMed

Abstract:

[This corrects the article DOI: 10.1038/s41746-020-0266-y.].

Keywords:
Cardiovascular diseasesRadiography

More Related Videos

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.6K
Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

708

Related Experiment Videos

Last Updated: Dec 12, 2025

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.3K
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.6K
Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

708

Related Concept Videos

Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care01:29

Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care

152
Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...
152

Articles linked to this work by shared authors, journal, and citation graph.

Integrating artificial intelligence into venous thromboembolism care: Predictive models, implementation challenges, and future directions.

Journal of vascular surgery. Venous and lymphatic disorders·2026

Call to Action: Accelerating AI-driven Transformation in Medical Imaging and the Broader Health Care System.

Radiology·2026

An explainable biomedical foundation model via large-scale concept-enhanced vision-language pretraining.

Nature biomedical engineering·2026

Beyond Doppler: Scalable AI Detection of LVOT Obstruction in HCM.

Circulation. Cardiovascular imaging·2026

Expert Consensus to Explore the Definition and Characterization of Methamphetamine-Associated Pulmonary Arterial Hypertension and Key Treatment Considerations.

CHEST pulmonary·2026

Strategies for Deploying Large Language Models for Ascertaining Clinical Outcomes and Sites of Metastases From Radiology Impressions in Patients With Cancer.

JCO clinical cancer informatics·2026

Multi-Agent collaboration as a complementary architecture for AI-generated medical examination items.

NPJ digital medicine·2026

A novel multiomics machine learning signature identifies rapid progression in clinically low risk prostate cancer.

NPJ digital medicine·2026

Multicenter evaluation of four large language models for automated spine imaging diagnosis.

NPJ digital medicine·2026

PREDICT-GBM: A multicenter platform advancing personalized glioblastoma radiotherapy planning.

NPJ digital medicine·2026

A five-phase evaluation framework for diagnostic and predictive medical artificial intelligence.

NPJ digital medicine·2026

Evaluating foundation models on official German medical licensing examinations: Implications for high-stakes assessment and AI-assisted medical education.

NPJ digital medicine·2026

A robust privacy-preserving federated framework for kidney CT image classification using transfer learning models.

Frontiers in artificial intelligence·2026

A knowledge-guided dual-path framework for automated liver MRI series classification.

Abdominal radiology (New York)·2026

Did you miss me? Making the most of digital phenotyping data by imputing missingness with point process models: observational study.

BMJ health & care informatics·2026

Classifying Physician Deepfakes: The Many Faces of AI-Powered Medical Deception.

Journal of medical Internet research·2026

High-speed reservoir computing using photonic integrated circuit optical parametric oscillators.

Science advances·2026

Developing SCL2205: A Protein Sequence-based Spatial Modelling Dataset for the Protein Language Model Frontier.

Bioinformatics (Oxford, England)·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies
Jove
Visualize
Contact Us