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All Journal Jurnal Anestesi Perioperatif Jurnal Neuroanestesi Indonesia Medicosphere
Fitri Sepviyanti Sumardi
Bagian Anestesiologi dan Terapi Intensif Rumah Sakit Bayukarta Karawang, Jl. Lesmana No. 10 Bandung
Biochemistry, Genetics & Molecular Biology Education Health Professions Immunology & microbiology Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences

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Journal : Medicosphere

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The Role of Artificial Intelligence in the Diagnosis and Management of Ischemic Stroke in Indonesia: A Systematic Review Sumardi, Fitri Sepviyanti
Journal of Diverse Medical Research: Medicosphere Vol. 2 No. 5 (2025): J Divers Med Res 2025
Publisher : Faculty of Medical - UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jdiversemedres.v2i5.173

Abstract

Background: Ischemic stroke is a leading cause of death and disability in Indonesia. However, with the emergence of artificial intelligence (AI), there is a promising future for improving stroke diagnosis and management. This article aims to explore the potential of AI in this context, as well as the challenges and opportunities for its implementation in Indonesia, offering a hopeful outlook for the future of stroke care. Article Selection Methodology: This is a narrative study on the utilization of AI in diagnosing and managing ischemic stroke. Using the keywords' role of AI in diagnosing and managing ischemic stroke,' we retrieved and critically reviewed approximately 16 relevant articles from PubMed, Scopus, and Google Scholar. Results: Artificial intelligence (AI) presents a promising avenue for enhancing stroke diagnosis. Its ability to analyze data faster and more accurately and to assist medical personnel in making better clinical decisions is a significant advancement. However, it's crucial to recognize and address challenges, such as the need for high-quality data and adequate user training. Overcoming these hurdles is critical and requires our utmost determination and commitment to fully realizing the potential of AI in daily clinical practice. Conclusion: Artificial intelligence has significant potential in diagnosing and managing ischemic stroke in Indonesia. Its ability to enhance diagnostic accuracy, streamline clinical decision-making, and improve access to care is undeniable. However, to fully realize these benefits, we must urgently invest in further research and foster collaboration among various stakeholders. We can ensure the safe, effective, and ethical implementation of this transformative technology through these concerted efforts.
Co-Authors Abdul Muthalib Nawawi Dewi Yulianti Bisri Hamzah, Hanzah Iwan Abdul Rachman Iwan Fuadi Rahordjo, Sri Rehatta, Nancy Margareta Rehatta, Nancy Margareta Rose Mafiana Saleh, Siti Chasnak Saleh, Siti Chasnak Sri Rahardjo Surachman, Eri Tatang Bisri Tinni T. Maskoen Umar, Nazaruddin Umar, Nazaruddin