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    Artificial intelligence in sickle disease

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    Date
    2023
    Author
    Elsabagh, Ahmed Adel
    Elhadary, Mohamed
    Elsayed, Basel
    Elshoeibi, Amgad Mohamed
    Ferih, Khaled
    Kaddoura, Rasha
    Alkindi, Salam
    Alshurafa, Awni
    Alrasheed, Mona
    Alzayed, Abdullah
    Al-Abdulmalek, Abdulrahman
    Altooq, Jaffer Abduljabber
    Yassin, Mohamed
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    Abstract
    Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and clinical practice in numerous medical fields. Its implications have been rising and are being widely used in research, diagnostics, and treatment options for many pathologies, including sickle cell disease (SCD). AI has started new ways to improve risk stratification and diagnosing SCD complications early, allowing rapid intervention and reallocation of resources to high-risk patients. We reviewed the literature for established and new AI applications that may enhance management of SCD through advancements in diagnosing SCD and its complications, risk stratification, and the effect of AI in establishing an individualized approach in managing SCD patients in the future. Aim: to review the benefits and drawbacks of resources utilizing AI in clinical practice for improving the management for SCD cases.
    DOI/handle
    http://dx.doi.org/10.1016/j.blre.2023.101102
    http://hdl.handle.net/10576/48999
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    • Medicine Research [‎1794‎ items ]

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