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This paper is in the following e-collection/theme issue:

Applications of AI (408) Tools, Programs and Algorithms (431) Decision Support for Health Professionals (1729) Machine Learning (2345) Immunology, Allergy, Rheumatology (166) Artificial Intelligence in Surgery and Perioperative Medicine (56) Outcomes Research in Perioperative Medicine (54)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64519, first published .
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Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Machine-Learning Predictive Tool for the Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: Registry-Based Study

Authors of this article:

Rajagopal Subramaniam Chandrasekar1, 2 Author Orcid Image ;   Michael Kane3 Author Orcid Image ;   Lakshmanan Krishnamurti1 Author Orcid Image
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Journals

  1. Abdelgader Adam N, Ahmed Omer O, Ahamed F, Mohammed Mansoor M, Abuelgasim Hassan S, Mohamed Abdalla A, Abdelghaffar Osman S. Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review. Cureus 2026 View