Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis

Machine learning for prognostic prediction in coronary artery disease with SPECT data: a systematic review and meta-analysis

Abstract Background Single-photon emission computed tomography (SPECT) analysis relies on qualitative visual assessment or semi-quantitative measures like total perfusion deficit that play a critical role in the non-invasive diagnosis of coronary artery disease by assessing regional blood flow abnor...

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Main Authors: Vedat Cicek, Ezgi Hasret Kozan Cikirikci, Mert Babaoğlu, Almina Erdem, Yalcin Tur, Mohamed Iesar Mohamed, Tufan Cinar, Hatice Savas, Ulas Bagci
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:EJNMMI Research
Subjects:
Machine learning
SPECT
MPI
Coronary artery disease
Prognosis
Online Access:https://doi.org/10.1186/s13550-024-01179-2
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https://doi.org/10.1186/s13550-024-01179-2

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