Abstract
Acute pulmonary embolism (PE) is a critical, potentially life-threatening finding on contrast-enhanced cross-sectional chest imaging. Timely and accurate diagnosis of thrombus acuity and extent directly influences patient management, and outcomes. Technical and interpretive pitfalls may present challenges to the radiologist, and by extension, pose nuance in the development and integration of artificial intelligence support tools. This review delineates imaging considerations for diagnosis of acute PE, and rationale, hurdles and applications of artificial intelligence for the PE task.
Original language | English |
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Pages (from-to) | 24-32 |
Number of pages | 9 |
Journal | Clinical Imaging |
Volume | 88 |
DOIs | |
State | Published - Aug 2022 |
Externally published | Yes |
Keywords
- Artificial intelligence
- CAD
- CTPA
- Dual energy
- Pulmonary embolism