A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective
Tekijät: Rudroff, Thorsten; Rainio, Oona; Klén, Riku
Kustantaja: MDPI
Julkaisuvuosi: 2024
Journal: Brain Sciences
Tietokannassa oleva lehden nimi: Brain sciences
Lehden akronyymi: Brain Sci
Artikkelin numero: 831
Vuosikerta: 14
Numero: 8
ISSN: 2076-3425
eISSN: 2076-3425
DOI: https://doi.org/10.3390/brainsci14080831
Verkko-osoite: https://doi.org/10.3390/brainsci14080831
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/457823591
Long COVID (Coronavirus disease), affecting millions globally, presents unprecedented challenges to healthcare systems due to its complex, multifaceted nature and the lack of effective treatments. This perspective review explores the potential of artificial intelligence (AI)-guided transcranial direct current stimulation (tDCS) as an innovative approach to address the urgent need for effective Long COVID management. The authors examine how AI could optimize tDCS protocols, enhance clinical trial design, and facilitate personalized treatment for the heterogeneous manifestations of Long COVID. Key areas discussed include AI-driven personalization of tDCS parameters based on individual patient characteristics and real-time symptom fluctuations, the use of machine learning for patient stratification, and the development of more sensitive outcome measures in clinical trials. This perspective addresses ethical considerations surrounding data privacy, algorithmic bias, and equitable access to AI-enhanced treatments. It also explores challenges and opportunities for implementing AI-guided tDCS across diverse healthcare settings globally. Future research directions are outlined, including the need for large-scale validation studies and investigations of long-term efficacy and safety. The authors argue that while AI-guided tDCS shows promise for addressing the complex nature of Long COVID, significant technical, ethical, and practical challenges remain. They emphasize the importance of interdisciplinary collaboration, patient-centered approaches, and a commitment to global health equity in realizing the potential of this technology. This perspective article provides a roadmap for researchers, clinicians, and policymakers involved in developing and implementing AI-guided neuromodulation therapies for Long COVID and potentially other neurological and psychiatric conditions.
Ladattava julkaisu This is an electronic reprint of the original article. |
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This research received no external funding.