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The Use of Artificial Intelligence to Improve Detection of Acute Incidental Pulmonary Emboli – JTH
JTH/LinkedIn
Oct 29, 2025, 07:31

The Use of Artificial Intelligence to Improve Detection of Acute Incidental Pulmonary Emboli – JTH

Journal of Thrombosis and Haemostasis (JTH) shared a post on LinkedIn:

“The use of artificial intelligence to improve detection of acute incidental pulmonary emboli
By Ronald Kuzo, David Levin, Alex Bratt, Lara Walkoff, Garima Suman, and Damon Houghton

  • Context: Incidental pulmonary emboli (IPE) are often overlooked in imaging performed for other reasons. AI-based detection tools aim to enhance accuracy.
  • Study: In 14 453 CT scans from 9 171 patients, a commercial AI algorithm was retrospectively compared with radiologist interpretations.
  • Findings: AI identified 36 missed IPEs but also generated 94 false positives and missed 30 radiologist-detected cases. Combined AI + human review yielded the highest overall detection, reinforcing that AI augments rather than replaces radiologists.”

Title: The use of artificial intelligence to improve detection of acute incidental pulmonary emboli

Authors: Ronald S. Kuzo, David L. Levin, Alexander K. Bratt, Lara A. Walkoff, Garima Suman, Damon E. Houghton

The Use of Artificial Intelligence to Improve Detection of Acute Incidental Pulmonary Emboli - JTH

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acute incidental pulmonary emboli Alexander K. Bratt Artificial Intelligence Damon E Houghton David L. Levin Garima Suman Headlines Health Hematology Hemostasis Hemostasis Today Journal of Thrombosis and Haemostasis (JTH) Lara A. Walkoff Medicine Ronald S. Kuzo
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