AI Article Synopsis
- Deep learning has significantly advanced in recent years and is now a key tool for machine learning classification tasks in medical image analysis, particularly in nuclear cardiology.
- The paper reviews recent literature on AI-based classification techniques applied to SPECT myocardial perfusion imaging for diagnosing heart disease, highlighting notable research efforts in the field.
- It also discusses the outcomes of these studies and emphasizes the need for future research to improve the explainability of deep-learning systems used in clinical settings.
Article Abstract
In the last few years, deep learning has made a breakthrough and established its position in machine learning classification problems in medical image analysis. Deep learning has recently displayed remarkable applicability in a range of different medical applications, as well as in nuclear cardiology. This paper implements a literature review protocol and reports the latest advances in artificial intelligence (AI)-based classification in SPECT myocardial perfusion imaging in heart disease diagnosis. The representative and most recent works are reported to demonstrate the use of AI and deep learning technologies in medical image analysis in nuclear cardiology for cardiovascular diagnosis. This review also analyses the primary outcomes of the presented research studies and suggests future directions focusing on the explainability of the deployed deep-learning systems in clinical practice.
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| http://dx.doi.org/10.1097/MNM.0000000000001634 | DOI Listing |
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