Artificial Intelligence (AI) In Health Care and Rehabilitation: Difference between revisions
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== Introduction == | == Introduction == | ||
AI refers to the capability of a machine to perform a functional task overseen insightfully by humans. AI applies algorithms to learn, think, and then ultimately aide various clinical practices such as eg.radiology and rehabilitation. AI also is used to find current wide scoping clinical information from journals, books, and evidence-based practice, all helping in clinical decision-making in healthcare. Moreover, AI technologies aides in the reduction of medical errors in health care practices.<ref>Alsobhi M, Khan F, Chevidikunnan MF, Basuodan R, Shawli L, Neamatallah Z. [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634519/ Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study.] Journal of Medical Internet Research. 2022 Oct 20;24(10):e39565.Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634519/ (accessed 4.1.2024)</ref> | |||
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Revision as of 02:45, 4 January 2024
Original Editor - Lucinda hampton
Top Contributors - Lucinda hampton, Ines Musabyemariya and Angeliki Chorti
Introduction[edit | edit source]
AI refers to the capability of a machine to perform a functional task overseen insightfully by humans. AI applies algorithms to learn, think, and then ultimately aide various clinical practices such as eg.radiology and rehabilitation. AI also is used to find current wide scoping clinical information from journals, books, and evidence-based practice, all helping in clinical decision-making in healthcare. Moreover, AI technologies aides in the reduction of medical errors in health care practices.[1]
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References[edit | edit source]
- ↑ Alsobhi M, Khan F, Chevidikunnan MF, Basuodan R, Shawli L, Neamatallah Z. Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study. Journal of Medical Internet Research. 2022 Oct 20;24(10):e39565.Available:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634519/ (accessed 4.1.2024)
