Artificial Intelligence in healthcare
Abstract
Artificial intelligence (AI) is revolutionizing scientific research and clinical practice, acting as an essential tool to optimize processes, improve decision-making and advance the quality of health outcomes. Its ability to analyze large volumes of data, identify patterns and provide recommendations based on this information is profoundly transforming the healthcare landscape (1,2).
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Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Reza Afrash M. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications. Vol. 188, International Journal of Medical Informatics. Elsevier Ireland Ltd; 2024.
Lunny C, Whitelaw S, Reid EK, Chi Y, Ferri N, Zhang JH, et al. Exploring decision-makers’ challenges and strategies when selecting multiple systematic reviews: insights for AI decision support tools in healthcare. BMJ Open [Internet]. 5 de julio de 2024 [citado 23 de noviembre de 2024];14(7). Disponible en: https://pubmed.ncbi.nlm.nih.gov/38969371/
Bolaños F, Salatino A, Osborne F, Motta E. Artificial intelligence for literature reviews: opportunities and challenges. Artif Intell Rev. 1 de septiembre de 2024;57(9).
Tóth B, Berek L, Gulácsi L, Péntek M, Zrubka Z. Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed. Syst Rev. 1 de diciembre de 2024;13(1).
Khalil H, Ameen D, Zarnegar A. Tools to support the automation of systematic reviews: a scoping review. Vol. 144, Journal of Clinical Epidemiology. Elsevier Inc.; 2022. p. 22-42.
Gombolay GY, Gopalan N, Bernasconi A, Nabbout R, Megerian JT, Siegel B, et al. Review of Machine Learning and Artificial Intelligence (ML/AI) for the Pediatric Neurologist. Vol. 141, Pediatric Neurology. Elsevier Inc.; 2023. p. 42-51.
Khan M, Khurshid M, Vatsa M, Singh R, Duggal M, Singh K. On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review. Vol. 10, Frontiers in Public Health. Frontiers Media S.A.; 2022.
Dundaru-Bandi D, Antel R, Ingelmo P. Advances in pediatric perioperative care using artificial intelligence. Vol. 37, Current Opinion in Anaesthesiology. Lippincott Williams and Wilkins; 2024. p. 251-8.
Calvache JA. Promises for the future: The role of artificial intelligence in education and perioperative care. Colomb J Anesthesiol 2023;52. https://doi.org/10.5554/22562087.e1090.
Konet A, Thomas I, Gartlehner G, Kahwati L, Hilscher R, Kugley S, et al. Performance of two large language models for data extraction in evidence synthesis. Res Synth Methods. 1 de septiembre de 2024;
Kwok TC, Henry C, Saffaran S, Meeus M, Bates D, Van Laere D, et al. Application and potential of artificial intelligence in neonatal medicine. Semin Fetal Neonatal Med [Internet]. 1 de octubre de 2022 [citado 23 de noviembre de 2024];27(5). Disponible en: https://pubmed.ncbi.nlm.nih.gov/35473694/
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