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Artificial Intelligence in Enhancing Syncope Management - An Update

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journal contribution
submitted on 2024-01-22, 08:18 and posted on 2024-01-22, 11:39 authored by Alifiya Aamir, Yumna Jamil, Maham Bilal, Mufaddal Diwan, Abdulqadir J. Nashwan, Irfan Ullah

This review looks into the use of Artificial Intelligence (AI) in the management of syncope, a condition characterised by a brief loss of consciousness caused by cerebral hypoperfusion. With rising prevalence, high costs, and difficulty in diagnosis and risk stratification, syncope poses significant healthcare challenges. AI has the potential to improve symptom differentiation, risk assessment, and patient management. Machine learning, specifically Artificial Neural Networks (ANNs), has shown promise in accurate risk stratification. Artificial intelligence-powered clinical decision support tools can improve patient evaluation and resource utilisation. While AI holds great promise for syncope management, challenges such as data quality, class imbalance, and defining risk categories remain. Ethical concerns about patient privacy, as well as the need for human empathy, complicate AI integration. Collaboration among data scientists, clinicians, and ethics experts is critical for the successful implementation of AI, which has the potential to improve patient outcomes and healthcare efficiency in syncope management.

Other Information

Published in: Current Problems in Cardiology
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Open Access funding provided by the Qatar National Library.



  • English



Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Medical Corporation