{"title":"镰状病中的人工智能","authors":"Ahmed Adel Elsabagh , Mohamed Elhadary , Basel Elsayed , Amgad Mohamed Elshoeibi , Khaled Ferih , Rasha Kaddoura , Salam Alkindi , Awni Alshurafa , Mona Alrasheed , Abdullah Alzayed , Abdulrahman Al-Abdulmalek , Jaffer Abduljabber Altooq , Mohamed Yassin","doi":"10.1016/j.blre.2023.101102","DOIUrl":null,"url":null,"abstract":"<div><p>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. <strong>Aim</strong>: to review the benefits and drawbacks of resources utilizing AI in clinical practice for improving the management for SCD cases.</p></div>","PeriodicalId":56139,"journal":{"name":"Blood Reviews","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Artificial intelligence in sickle disease\",\"authors\":\"Ahmed Adel Elsabagh , Mohamed Elhadary , Basel Elsayed , Amgad Mohamed Elshoeibi , Khaled Ferih , Rasha Kaddoura , Salam Alkindi , Awni Alshurafa , Mona Alrasheed , Abdullah Alzayed , Abdulrahman Al-Abdulmalek , Jaffer Abduljabber Altooq , Mohamed Yassin\",\"doi\":\"10.1016/j.blre.2023.101102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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. <strong>Aim</strong>: to review the benefits and drawbacks of resources utilizing AI in clinical practice for improving the management for SCD cases.</p></div>\",\"PeriodicalId\":56139,\"journal\":{\"name\":\"Blood Reviews\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0268960X23000632\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268960X23000632","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
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.
期刊介绍：
Blood Reviews, a highly regarded international journal, serves as a vital information hub, offering comprehensive evaluations of clinical practices and research insights from esteemed experts. Specially commissioned, peer-reviewed articles authored by leading researchers and practitioners ensure extensive global coverage across all sub-specialties of hematology.
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