APA (7th ed.) Citation

K, N., A, N., JH, B., GA, F., ZVJ, W., D, M., & G, H. (2024). Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: An observational study. Frontiers in neurology, 14, 1329643. https://doi.org/10.3389/fneur.2023.1329643

Chicago Style (17th ed.) Citation

K, Nagaratnam, Neuhaus A, Briggs JH, Ford GA, Woodhead ZVJ, Maharjan D, and Harston G. "Artificial Intelligence-based Decision Support Software to Improve the Efficacy of Acute Stroke Pathway in the NHS: An Observational Study." Frontiers in Neurology 14 (2024): 1329643. https://doi.org/10.3389/fneur.2023.1329643.

MLA (9th ed.) Citation

K, Nagaratnam, et al. "Artificial Intelligence-based Decision Support Software to Improve the Efficacy of Acute Stroke Pathway in the NHS: An Observational Study." Frontiers in Neurology, vol. 14, 2024, p. 1329643, https://doi.org/10.3389/fneur.2023.1329643.