Automatic comprehensive radiological reports for clinical acute stroke MRIs

被引：0

作者：

Chin-Fu Liu

Yi Zhao

Vivek Yedavalli

Richard Leigh

Vitor Falcao

Michael I. Miller

Argye E. Hillis

Andreia V. Faria

机构：

[1] Johns Hopkins University,Center for Imaging Science

[2] Johns Hopkins University,Department of Biomedical Engineering

[3] Indiana University School of Medicine,Department of Biostatistics and Health Data Science

[4] Johns Hopkins University,Department of Radiology, School of Medicine

[5] Johns Hopkins University,Department of Neurology, School of Medicine

[6] Weiss Memorial Hospital,Kavli Neuroscience Discovery Institute

[7] Johns Hopkins University,Department of Physical Medicine & Rehabilitation, and Department of Cognitive Science

[8] Johns Hopkins University,Radiology, Neuroimaging and Neurointervention

[9] Stanford University,UT Southwestern Clinical Research Institute of Austin, Department of Neurology and Neurotherapeutics

[10] Centre Hospitalier Universitaire Vaudois,Departments of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital

[11] UT Southwestern Medical Center,Department of Neurology

[12] University of Melbourne,Department of Neurology

[13] University of Texas Health Science Center,Department of Neurology, Asian Medical Center

[14] University of Heidelberg,Department of Neurology and the Stroke Center

[15] University of Ulsan College of Medicine,National Institute of Neurological Disorders and Stroke (NINDS)

[16] Georgetown University,Institute of Cardiovascular and Medical Sciences

[17] National Institutes of Health (NIH),Laboratory of Neurobiology, Vesalius Research Center, VIB, Experimental Neurology and Leuven Research Institute for Neuroscience and Disease, Department of Neurology

[18] University of Glasgow,Brain Research Imaging Centre, Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences

[19] West- ern Infirmary,undefined

[20] Massachusetts General Hospital and Harvard Medical School,undefined

[21] UCLA Stroke Center,undefined

[22] Siemens Corporate Research,undefined

[23] Inc,undefined

[24] University Hos- pital Leuven,undefined

[25] University Medical Center Hamburg-Eppendorf,undefined

[26] University of Edinburgh,undefined

来源：

Communications Medicine | / 3卷

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摘要：

Artificial intelligence (AI) uses computer software to solve problems that normally require human input. It is likely that AI will take over, or help with, certain tasks in medical imaging, particularly where these tasks are time-consuming and laborious for clinicians. Here, we demonstrate the possibility of using AI to generate radiological reports for brain scans from patients who have had a stroke. These reports provide a summary of what is shown in the scans, and are normally written by clinicians. Our system performs similarly to human experts, is fast, publicly available, and runs on normal computers with minimal computational requirements, meaning that it might be a useful tool for researchers and clinicians to use when assessing and treating patients with stroke.

引用

共 50 条

[1] Automatic comprehensive radiological reports for clinical acute stroke MRIs
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Hillis, Argye E.
Faria, Andreia, V
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[3] Automatic comprehensive aspects reports in clinical acute stroke MRIs
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