Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival.

Journal: Investigative radiology

PMID: 39378217

Abstract

OBJECTIVES: A substantial number of incidental pulmonary embolisms (iPEs) in computed tomography scans are missed by radiologists in their daily routine. This study analyzes the radiological reports of iPE cases before and after implementation of an artificial intelligence (AI) algorithm for iPE detection. Furthermore, we investigate the anatomic distribution patterns within missed iPE cases and mortality within a 90-day follow-up in patients before and after AI use.

Authors

Vera Inka Josephin Graeve

From the Institute of Radiology, Cantonal Hospital Aarau, Aarau, Switzerland (V.I.J.G., S.L., A.S., H.Z., F.B., S.S., T.S.); General Research Office, Cantonal Hospital Aarau, Aarau, Switzerland (C.G.); and Medical University Department, Division of General Internal and Emergency Medicine, Cantonal Hospital Aarau, Aarau, Switzerland (P.S.).
Simin Laures
Andres Spirig
Hasan Zaytoun
Claudia Gregoriano
Philipp Schuetz
Felice Burn
Sebastian Schindera
Tician Schnitzler

Keywords

Aged Aged, 80 and over Algorithms Artificial Intelligence Female Humans Incidental Findings Male Middle Aged Missed Diagnosis Pulmonary Embolism Radiography, Thoracic Retrospective Studies Sensitivity and Specificity Survival Rate Tomography, X-Ray Computed

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View on PubMed Access via DOI PubMed (39378217)

Implementation of an AI Algorithm in Clinical Practice to Reduce Missed Incidental Pulmonary Embolisms on Chest CT and Its Impact on Short-Term Survival.

Abstract

Authors

Keywords

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