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American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

MY CONTENT

  • EDITOR'S CHOICENeurovascular/Stroke Imaging
    You have access
    A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes
    Yongkai Liu, Preya Shah, Yannan Yu, Jai Horsey, Jiahong Ouyang, Bin Jiang, Guang Yang, Jeremy J. Heit, Margy E. McCullough-Hicks, Stephen M. Hugdal, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers and Greg Zaharchuk
    American Journal of Neuroradiology April 2024, 45 (4) 406-411; DOI: https://doi.org/10.3174/ajnr.A8140

    The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.

  • ARTIFICIAL INTELLIGENCE
    You have access
    A Comparison of CT Perfusion Output of RapidAI and Viz.ai Software in the Evaluation of Acute Ischemic Stroke
    Saif Bushnaq, Ameer E. Hassan, Adam Delora, Ali Kerro, Anita Datta, Rime Ezzeldin, Zuhair Ali, Tunmi Anwoju, Layla Nejad, Rene Silva, Yazan Diya Abualnadi, Zorain Mustafa Khalil and Mohamad Ezzeldin
    American Journal of Neuroradiology April 2024, DOI: https://doi.org/10.3174/ajnr.A8196
  • ARTIFICIAL INTELLIGENCE
    Open Access
    Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time
    Mengmeng Wang, Yue Ma, Linna Li, Xingchen Pan, Yafei Wen, Ying Qiu, Dandan Guo, Yi Zhu, Jianxiu Lian and Dan Tong
    American Journal of Neuroradiology March 2024, DOI: https://doi.org/10.3174/ajnr.A8161
  • EDITOR'S CHOICEArtificial Intelligence
    You have access
    Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
    Gowtham Murugesan, Fang F. Yu, Michael Achilleos, John DeBevits, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Ananth J Madhuranthakam and Joseph A. Maldjian
    American Journal of Neuroradiology March 2024, 45 (3) 312-319; DOI: https://doi.org/10.3174/ajnr.A8107

    The authors developed and trained a novel deep learning model utilizing a diverse multi-institutional data set that was able to synthesize virtual contrast-enhanced T1-weighted images for primary brain tumors by using only noncontrast FLAIR, T2-weighted, and T1-weighted images.

  • ARTIFICIAL INTELLIGENCE
    You have access
    Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
    Shahriar Faghani, Mana Moassefi, Ajay A. Madhavan, Ian T. Mark, Jared T. Verdoorn, Bradley J. Erickson and John C. Benson
    American Journal of Neuroradiology February 2024, DOI: https://doi.org/10.3174/ajnr.A8173
  • Artificial Intelligence
    Open Access
    A Radiomic “Warning Sign” of Progression on Brain MRI in Individuals with MS
    Brendan S. Kelly, Prateek Mathur, Gerard McGuinness, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Aonghus Lawlor and Ronan P. Killeen
    American Journal of Neuroradiology February 2024, 45 (2) 236-243; DOI: https://doi.org/10.3174/ajnr.A8104
  • EDITOR'S CHOICEArtificial Intelligence
    Open Access
    AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical
    Aichi Chien, Hubert Tang, Bhavita Jagessar, Kai-wei Chang, Nanyun Peng, Kambiz Nael and Noriko Salamon
    American Journal of Neuroradiology February 2024, 45 (2) 244-248; DOI: https://doi.org/10.3174/ajnr.A8102

    This study quantitatively evaluated the performance of natural language processing models using real, longitudinal brain aneurysm imaging reports to objectively understand the strength and weakness of these new technologies.

  • Neurovascular/Stroke Imaging
    You have access
    Assessment of Collateral Flow in Patients with Carotid Stenosis Using Random Vessel-Encoded Arterial Spin-Labeling: Comparison with Digital Subtraction Angiography
    Shanshan Lu, Chunqiu Su, Yuezhou Cao, Zhenyu Jia, Haibin Shi, Yining He and Lirong Yan
    American Journal of Neuroradiology February 2024, 45 (2) 155-162; DOI: https://doi.org/10.3174/ajnr.A8100
  • ARTIFICIAL INTELLIGENCE
    Open Access
    AI-Assisted Summarization of Radiological Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical
    Aichi Chien, Hubert Tang, Bhavita Jagessar, Kai-wei Chang, Nanyun Peng, Kambiz Nael and Noriko Salamon
    American Journal of Neuroradiology January 2024, DOI: https://doi.org/10.3174/ajnr.A8102
  • ARTIFICIAL INTELLIGENCE
    Open Access
    A Radiomic “Warning-Sign” of Progression on Brain MRI in Individuals with MS
    Brendan S. Kelly, Prateek Mathur, Gerard McGuinness, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Aonghus Lawlor and Ronan P. Killeen
    American Journal of Neuroradiology January 2024, DOI: https://doi.org/10.3174/ajnr.A8104

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