Artificial intelligence in sickle disease.

Saved in:
Bibliographic Details
Title: Artificial intelligence in sickle disease.
Authors: Elsabagh AA; College of Medicine, QU Health, Qatar University, Doha, Qatar. Electronic address: ae1802661@qu.edu.qa., Elhadary M; College of Medicine, QU Health, Qatar University, Doha, Qatar., Elsayed B; College of Medicine, QU Health, Qatar University, Doha, Qatar., Elshoeibi AM; College of Medicine, QU Health, Qatar University, Doha, Qatar., Ferih K; College of Medicine, QU Health, Qatar University, Doha, Qatar., Kaddoura R; Pharmacy Department, Heart Hospital, Hamad Medical Corporation (HMC), Doha, Qatar., Alkindi S; Professor of Hematology, Sultan Qaboos University, Oman., Alshurafa A; Department of Hematology, Hamad Medical Corporation (HMC), Doha, Qatar., Alrasheed M; Hematology Unit, Department of Medicine, Aladnan Hospital, Ministry of Health, Kuwait., Alzayed A; Qatif Central Hospital, Saudi Arabia., Al-Abdulmalek A; Internal Medicine Department, Montreal General Hospital, Montreal, Canada., Altooq JA; Internal Medicine Department, Bahrain Sulaymaniyah Hospital, Bahrain., Yassin M; Hematology Section, Medical Oncology, National Center for Cancer Care and Research (NCCCR), Hamad Medical Corporation (HMC), Doha, Qatar. Electronic address: ae1802661@qu.edu.qa.
Source: Blood reviews [Blood Rev] 2023 Sep; Vol. 61, pp. 101102. Date of Electronic Publication: 2023 Jun 08.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 8708558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-1681 (Electronic) Linking ISSN: 0268960X NLM ISO Abbreviation: Blood Rev Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1532-1681
DOI:10.1016/j.blre.2023.101102