Artificial intelligence in sickle disease
| Author | Elsabagh, Ahmed Adel |
| Author | Elhadary, Mohamed |
| Author | Elsayed, Basel |
| Author | Elshoeibi, Amgad Mohamed |
| Author | Ferih, Khaled |
| Author | Kaddoura, Rasha |
| Author | Alkindi, Salam |
| Author | Alshurafa, Awni |
| Author | Alrasheed, Mona |
| Author | Alzayed, Abdullah |
| Author | Al-Abdulmalek, Abdulrahman |
| Author | Altooq, Jaffer Abduljabber |
| Author | Yassin, Mohamed |
| Available date | 2023-11-05T06:14:29Z |
| Publication Date | 2023 |
| Publication Name | Blood Reviews |
| Resource | Scopus |
| ISSN | 0268960X |
| 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. |
| Sponsor | Open Access funding provided by the Qatar National Library. |
| Language | en |
| Publisher | Churchill Livingstone |
| Subject | Artificial intelligence Convolutional neural networks Hemoglobinopathies Machine learning Sickle cell |
| Type | Article Review |
| Volume Number | 61 |
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