ArticleRadiology. Artificial intelligence2023
Use of a Deep Learning Algorithm for Detection and Triage of Cancer-associated Incidental Pulmonary Embolism.
Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Systematic review on the impact of deep learning-driven worklist triage on radiology workflow and clinical outcomes.European radiology · 2025Pooled it
- Diagnostic performance of an artificial intelligence algorithm for detecting pneumoperitoneum on abdominal CT scans.Insights into imaging · 2026Article
- Lesion feature enhancement and boundary-aware fusion for pulmonary embolism recognition on CT images.Frontiers in medicine · 2026Article
- Radiology Staff Experiences With Integrating Artificial Intelligence Into Radiology Practice in a Swedish Hospital: Qualitative Case Study.JMIR formative research · 2025Article
- Agentic AI in radiology: emerging potential and unresolved challenges.The British journal of radiology · 2025Article
- AI-Enhanced Deep Learning Framework for Pulmonary Embolism Detection in CT Angiography.Bioengineering (Basel, Switzerland) · 2025Article
- The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.Discover oncology · 2025Review
- Application of Artificial Intelligence in Thoracic Radiology: A Narrative Review.Tuberculosis and respiratory diseases · 2025Article
- Review
- Research progress of artificial intelligence and machine learning in pulmonary embolism.Frontiers in medicine · 2025Review
- Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment.Radiology · 2025Review
- Emerging multimodality imaging techniques for the pulmonary circulation.The European respiratory journal · 2024Review
- Incidental pulmonary embolism in abdominal CT: detection rate and characteristics with artificial intelligence.Radiology advances · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Incidental pulmonary embolism (iPE) is a common complication in patients with cancer, and there is often a delay in reporting these studies and a delay between the finalized report and time to treatment. In addition, unreported iPE is common. This retrospective single-center cross-sectional study evaluated the effect of an artificial intelligence (AI) algorithm on the report turnaround time, time to treatment, and detection rate in patients with cancer-associated iPE. Adult patients with cancer were included either before (July 1, 2018, to June 30, 2019) or after (November 1, 2020, to April 30, 2021) implementation of an AI algorithm for iPE detection and triage. The results demonstrated that reported iPE prevalence was significantly higher in the period after AI implementation (2.5% [26 of 1036 studies] vs 0.8% [16 of 1892 studies],
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