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Artificial intelligence in sickle disease

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Version 2 2023-10-10, 11:30
Version 1 2023-06-14, 10:45
journal contribution
revised on 2023-10-10, 11:28 and posted on 2023-10-10, 11:30 authored by Ahmed Elsabagh, Mohamed Elhadary, Basel Elsayed, Amgad Mohamed Elshoeibi, Khaled Ferih, Rasha Kaddoura, Salam Alkindi, Awni Alshurafa, Mona Alrasheed, Abdullah AlzayedAbdullah Alzayed, Abdulrahman Al-Abdulmalek, Jaffer Abduljabber Altooq, Mohamed Yassin

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.

Other Information

Published in: Blood Reviews
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: http://dx.doi.org/10.1016/j.blre.2023.101102

Funding

Open Access funding provided by the Qatar National Library

History

Language

  • English

Publisher

Elsevier

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License

Institution affiliated with

  • Qatar University
  • Qatar University Health - QU
  • College of Medicine - QU HEALTH
  • Hamad Medical Corporation
  • Heart Hospital - HMC
  • National Center for Cancer Care and Research - HMC