Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions.

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Bibliographic Details
Title: Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions.
Authors: Togunwa TO; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.; Michigan Institute for Data and AI in Society, University of Michigan, Ann Arbor, MI, USA., Olayiwola T; College of Medicine, University of Ibadan, Ibadan, Nigeria., Oludele HD; College of Medicine, University of Ibadan, Ibadan, Nigeria., Fatade OE; Department of Radiology, University College Hospital, Ibadan, Nigeria., Adepoju A; Department of Radiology, University College Hospital, Ibadan, Nigeria., Adeyemi A; Department of Radiology, University College Hospital, Ibadan, Nigeria., Haglund MM; Department of Neurosurgery, Duke University Health System, Durham, NC, USA.; Duke Global Health Institute, Durham, NC, USA.; Duke Global Neurosurgery and Neurology, Durham, NC, USA., Kolls BJ; Duke Global Neurosurgery and Neurology, Durham, NC, USA.; Department of Neurology, Duke University Health System, Durham, NC, USA., Ogbole GI; Department of Radiology, University College Hospital, Ibadan, Nigeria.; Department of Radiology, University of Ibadan, Ibadan, Nigeria., Ukachukwu AK; Department of Neurosurgery, Duke University Health System, Durham, NC, USA. dr.alvan01@gmail.com.; Duke Global Health Institute, Durham, NC, USA. dr.alvan01@gmail.com.; Duke Global Neurosurgery and Neurology, Durham, NC, USA. dr.alvan01@gmail.com.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Jul 17. Date of Electronic Publication: 2026 Jul 17.
Publication Type: Journal Article; Review
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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