Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion.
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| Title: | Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion. |
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| Authors: | Mak A; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America.; CLAIM-Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany., Matouk CC; Department of Neurosurgery, Division of Neurovascular Surgery, Yale University School of Medicine, New Haven, CT, United States of America., Avery EW; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America., Behland J; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America.; CLAIM-Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany., Haider SP; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America.; Department of Otorhinolaryngology, LMU Clinic of Ludwig-Maximilians-University of Munich, Munich, Germany., Frey D; CLAIM-Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany., Madai VI; QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité Universitätsmedizin Berlin, Berlin, Germany.; School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, United Kingdom., Vajkoczy P; Department of Neurosurgery, Charité Universitätsmedizin Berlin, Berlin, Germany., Griessenauer CJ; Research Institute of Neurointervention, Paracelsus Medical University, Salzburg, Austria.; Department of Neurosurgery, Paracelsus Medical University, Salzburg, Austria., Zand R; Department of Neurology, Geisinger Medical Center, Danville, PA, United States of America.; Department of Neurology, Pennsylvania State University, State College, PA, United States of America., Hendrix P; Department of Neurosurgery, Geisinger Medical Center, Danville, PA, United States of America.; Department of Neurosurgery, Saarland University Medical Center, Homburg, Germany., Abedi V; Department of Public Health Sciences, The Pennsylvania State University, Hershey, PA, United States of America.; Department of Molecular and Functional Genomics, Geisinger Medical Center, Danville, PA, United States of America., Sanelli PC; Department of Radiology, Northwell Health Feinstein Institutes for Medical Research, Manhasset, New York, United States of America., Falcone GJ; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America., Petersen N; Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America., Sansing LH; Division of Stroke and Vascular Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America., Sheth KN; Division of Stroke and Vascular Neurology, Department of Neurology, Yale University School of Medicine, New Haven, CT, United States of America., Payabvash S; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America., Malhotra A; Department of Radiology and Biomedical Imaging, Section of Neuroradiology, Yale School of Medicine, New Haven, CT, United States of America. |
| Source: | PloS one [PLoS One] 2024 Jun 13; Vol. 19 (6), pp. e0304962. Date of Electronic Publication: 2024 Jun 13 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0304962 |
