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Artificial Intelligence in Enhancing Syncope Management - An Update

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submitted on 2023-10-23, 05:01 and posted on 2023-10-23, 05:03 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 characterized 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, has shown promise in accurate risk stratification. AI-powered clinical decision support tools can improve patient evaluation and resource utilization. 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
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://doi.org/10.1016/j.cpcardiol.2023.102079

Funding

Open Access funding provided by the Qatar National Library

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2024

License statement

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

Institution affiliated with

  • Hamad Medical Corporation